![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Muhammad Abdullah Hanif
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j23]Amira Guesmi
, Muhammad Abdullah Hanif, Bassem Ouni
, Muhammad Shafique
:
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. IEEE Access 12: 13571-13585 (2024) - [i54]Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique:
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. CoRR abs/2403.00830 (2024) - [i53]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique:
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. CoRR abs/2403.11515 (2024) - [i52]Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CoRR abs/2405.03244 (2024) - [i51]Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique:
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. CoRR abs/2407.02581 (2024) - 2023
- [j22]Amira Guesmi
, Muhammad Abdullah Hanif, Bassem Ouni
, Muhammad Shafique
:
Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. IEEE Access 11: 109617-109668 (2023) - [j21]Muhammad Abdullah Hanif
, Rehan Hafiz, Muhammad Shafique
:
DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. Inf. 14(10): 570 (2023) - [j20]Amira Guesmi
, Muhammad Abdullah Hanif, Muhammad Shafique
:
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. Inf. 14(12): 634 (2023) - [j19]Alberto Marchisio
, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
:
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. Microprocess. Microsystems 96: 104738 (2023) - [j18]Lilas Alrahis
, Satwik Patnaik
, Muhammad Abdullah Hanif
, Muhammad Shafique
, Ozgur Sinanoglu
:
$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. IEEE Trans. Computers 72(10): 2822-2834 (2023) - [j17]Ebrahim Farahmand
, Ali Mahani
, Muhammad Abdullah Hanif
, Muhammad Shafique
:
Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. ACM Trans. Embed. Comput. Syst. 22(6): 106:1-106:32 (2023) - [c48]Muhammad Abdullah Hanif, Muhammad Shafique
:
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. DATE 2023: 1-2 - [c47]Jorge Castro-Godínez, Muhammad Abdullah Hanif, Muhammad Shafique
:
Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. DSN-W 2023: 163-166 - [c46]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani
, Muhammad Shafique
:
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN 2023: 1-10 - [c45]Muhammad Abdullah Hanif, Muhammad Shafique
:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. IJCNN 2023: 1-8 - [i50]Amira Guesmi
, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR abs/2303.01338 (2023) - [i49]Amira Guesmi
, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR abs/2303.01351 (2023) - [i48]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR abs/2303.01819 (2023) - [i47]Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique:
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. CoRR abs/2303.02495 (2023) - [i46]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR abs/2303.14009 (2023) - [i45]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR abs/2304.04039 (2023) - [i44]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR abs/2304.04041 (2023) - [i43]Muhammad Abdullah Hanif, Muhammad Shafique:
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. CoRR abs/2304.12949 (2023) - [i42]Amira Guesmi
, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR abs/2305.11618 (2023) - [i41]Muhammad Abdullah Hanif, Muhammad Shafique:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. CoRR abs/2305.12590 (2023) - [i40]Muhammad Abdullah Hanif, Muhammad Shafique:
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. CoRR abs/2305.12595 (2023) - [i39]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. CoRR abs/2307.11124 (2023) - [i38]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR abs/2307.11128 (2023) - [i37]Amira Guesmi
, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. CoRR abs/2308.03108 (2023) - [i36]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammed Shafique:
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. CoRR abs/2308.06173 (2023) - [i35]Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. CoRR abs/2310.10315 (2023) - [i34]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. CoRR abs/2311.12084 (2023) - [i33]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. CoRR abs/2311.12211 (2023) - 2022
- [j16]Khadija Shaheen
, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. J. Intell. Robotic Syst. 105(1): 9 (2022) - [j15]Muhammad Abdullah Hanif, Muhammad Shafique
:
A cross-layer approach towards developing efficient embedded Deep Learning systems. Microprocess. Microsystems 88: 103609 (2022) - [j14]Lilas Alrahis
, Satwik Patnaik
, Muhammad Abdullah Hanif
, Hani H. Saleh, Muhammad Shafique
, Ozgur Sinanoglu
:
GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. IEEE Trans. Emerg. Top. Comput. 10(3): 1575-1592 (2022) - [c44]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique
:
SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. DAC 2022: 151-156 - [c43]Muhammad Abdullah Hanif, Giuseppe Maria Sarda
, Alberto Marchisio, Guido Masera
, Maurizio Martina, Muhammad Shafique
:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN 2022: 1-8 - [c42]Shail Dave
, Alberto Marchisio
, Muhammad Abdullah Hanif, Amira Guesmi
, Aviral Shrivastava, Ihsen Alouani
, Muhammad Shafique
:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS 2022: 1-14 - [i32]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors. CoRR abs/2203.05523 (2022) - [i31]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR abs/2204.09514 (2022) - [i30]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio
, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR abs/2208.00331 (2022) - 2021
- [j13]Dilshad Sabir
, Muhammad Abdullah Hanif
, Ali Hassan
, Saad Rehman
, Muhammad Shafique
:
TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. IEEE Access 9: 53647-53668 (2021) - [j12]Nivedita Shrivastava, Muhammad Abdullah Hanif, Sparsh Mittal
, Smruti Ranjan Sarangi
, Muhammad Shafique
:
A survey of hardware architectures for generative adversarial networks. J. Syst. Archit. 118: 102227 (2021) - [j11]Alberto Marchisio
, Vojtech Mrazek
, Muhammad Abdullah Hanif
, Muhammad Shafique
:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1768-1781 (2021) - [j10]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif
, Muhammad Shafique
:
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 702-715 (2021) - [j9]Alberto Marchisio
, Vojtech Mrazek
, Muhammad Abdullah Hanif
, Muhammad Shafique
:
FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 716-729 (2021) - [c41]Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder
, Paul Palomero Bernardo, Sebastian Siegfried Prebeck, Muhammad Shafique
:
Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS 2021: 11-20 - [c40]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique
:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. DAC 2021: 379-384 - [c39]Muhammad Abdullah Hanif, Muhammad Shafique
:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. DATE 2021: 729-734 - [c38]Lilas Alrahis, Satwik Patnaik
, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique
, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE 2021: 780-785 - [c37]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
:
TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. DSD 2021: 434-441 - [c36]Alberto Bosio, Ian O'Connor, Marcello Traiola
, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique
, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel
, Koen Bertels:
Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. ETS 2021: 1-10 - [c35]Muhammad Shafique
, Alberto Marchisio
, Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c34]Lilas Alrahis, Satwik Patnaik
, Muhammad Abdullah Hanif, Muhammad Shafique
, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. ICCAD 2021: 1-9 - [c33]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique
:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. ICCAD 2021: 1-9 - [i29]Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. CoRR abs/2101.12351 (2021) - [i28]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. CoRR abs/2103.00421 (2021) - [i27]Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique:
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR abs/2105.03251 (2021) - [i26]Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. CoRR abs/2105.12374 (2021) - [i25]Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique:
High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. CoRR abs/2106.08800 (2021) - [i24]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. CoRR abs/2108.10271 (2021) - [i23]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR abs/2109.09829 (2021) - [i22]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. CoRR abs/2111.07062 (2021) - 2020
- [j8]Paniti Achararit
, Muhammad Abdullah Hanif
, Rachmad Vidya Wicaksana Putra
, Muhammad Shafique
, Yuko Hara-Azumi
:
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. IEEE Access 8: 165319-165334 (2020) - [j7]Muhammad Abdullah Hanif
, Aditya Manglik, Muhammad Shafique
:
Resistive Crossbar-Aware Neural Network Design and Optimization. IEEE Access 8: 229066-229085 (2020) - [j6]Hassan Ali
, Faiq Khalid
, Hammad Tariq, Muhammad Abdullah Hanif, Rehan Ahmed, Semeen Rehman:
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters. IEEE Des. Test 37(2): 58-65 (2020) - [j5]Muhammad Kamran Ayub, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
:
PEAL: Probabilistic Error Analysis Methodology for Low-power Approximate Adders. ACM J. Emerg. Technol. Comput. Syst. 17(1): 1:1-1:37 (2020) - [j4]Hazoor Ahmad
, Tabasher Arif
, Muhammad Abdullah Hanif, Rehan Hafiz
, Muhammad Shafique
:
SuperSlash: A Unified Design Space Exploration and Model Compression Methodology for Design of Deep Learning Accelerators With Reduced Off-Chip Memory Access Volume. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4191-4204 (2020) - [c32]Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan
, Muhammad Shafique
:
PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. DAC 2020: 1-6 - [c31]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique
:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. DAC 2020: 1-6 - [c30]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan
, Muhammad Shafique
:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. DATE 2020: 666-669 - [c29]Alberto Marchisio
, Vojtech Mrazek
, Muhammad Abdullah Hanif, Muhammad Shafique
:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. DATE 2020: 1205-1210 - [c28]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. DATE 2020: 1241-1246 - [c27]Faiq Khalid, Hassan Ali
, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
:
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. IJCNN 2020: 1-8 - [c26]Alberto Marchisio
, Beatrice Bussolino
, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera
, Muhammad Shafique
:
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN 2020: 1-8 - [c25]Alberto Marchisio
, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
:
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. IJCNN 2020: 1-8 - [c24]Muhammad Abdullah Hanif, Muhammad Shafique
:
Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. IOLTS 2020: 1-4 - [c23]Muhammad Abdullah Hanif, Le Ha Hoang, Muhammad Shafique
:
Cross-layer approaches for improving the dependability of deep learning systems. SCOPES 2020: 78-81 - [i21]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. CoRR abs/2004.10341 (2020) - [i20]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR abs/2010.05754 (2020) - [i19]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. CoRR abs/2012.05948 (2020)
2010 – 2019
- 2019
- [j3]G. A. Gillani
, Muhammad Abdullah Hanif, B. Verstoep, Sabih H. Gerez
, Muhammad Shafique
, André B. J. Kokkeler:
MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing. IEEE Access 7: 77142-77160 (2019) - [c22]Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique
:
CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. DAC 2019: 6 - [c21]Vojtech Mrazek
, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
:
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. DAC 2019: 123 - [c20]Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique
, Siddharth Garg:
Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC 2019: 175 - [c19]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir
, Muhammad Shafique
:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. DATE 2019: 902-907 - [c18]Alberto Marchisio
, Muhammad Abdullah Hanif, Muhammad Shafique
:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. DATE 2019: 964-967 - [c17]Vojtech Mrazek
, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique
:
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. ICCAD 2019: 1-8 - [c16]Faiq Khalid, Hassan Ali
, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. IOLTS 2019: 182-187 - [c15]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
:
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. IOLTS 2019: 188-193 - [c14]Muhammad Abdullah Hanif, Muhammad Zuhaib Akbar, Rehan Ahmed, Semeen Rehman, Axel Jantsch
, Muhammad Shafique
:
MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. ISLPED 2019: 1-6 - [c13]Alberto Marchisio
, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou
, Theocharis Theocharides, Muhammad Shafique
:
Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. ISVLSI 2019: 553-559 - [p2]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
Configurable Models and Design Space Exploration for Low-Latency Approximate Adders. Approximate Circuits 2019: 3-23 - [p1]Muhammad Abdullah Hanif, Muhammad Usama Javed, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
Hardware-Software Approximations for Deep Neural Networks. Approximate Circuits 2019: 269-288 - [i18]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR abs/1901.09878 (2019) - [i17]Faiq Khalid, Hassan Ali
, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
:
RED-Attack: Resource Efficient Decision based Attack for Machine Learning. CoRR abs/1901.10258 (2019) - [i16]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? CoRR abs/1902.01147 (2019) - [i15]Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. CoRR abs/1902.10222 (2019) - [i14]Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. CoRR abs/1902.10807 (2019) - [i13]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR abs/1905.10142 (2019) - [i12]Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique:
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. CoRR abs/1907.07229 (2019) - [i11]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. CoRR abs/1912.00700 (2019) - [i10]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. CoRR abs/1912.00941 (2019) - [i9]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. CoRR abs/1912.01978 (2019) - 2018
- [j2]G. A. Gillani
, Muhammad Abdullah Hanif, M. Krone, Sabih H. Gerez
, Muhammad Shafique
, André B. J. Kokkeler:
Squash: Approximate Square-Accumulate With Self-Healing. IEEE Access 6: 49112-49128 (2018) - [j1]Muhammad Abdullah Hanif, Alberto Marchisio
, Tabasher Arif, Rehan Hafiz, Semeen Rehman, Muhammad Shafique
:
X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. J. Low Power Electron. 14(4): 520-534 (2018) - [c12]Salim Ullah
, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique
, Akash Kumar
:
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC 2018: 159:1-159:6 - [c11]Mohammad Taghi Teimoori, Muhammad Abdullah Hanif, Alireza Ejlali, Muhammad Shafique
:
AdAM: Adaptive approximation management for the non-volatile memory hierarchies. DATE 2018: 785-790 - [c10]Muhammad Shafique
, Theocharis Theocharides, Christos-Savvas Bouganis
, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman:
An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE 2018: 827-832 - [c9]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique
:
Error resilience analysis for systematically employing approximate computing in convolutional neural networks. DATE 2018: 913-916 - [c8]Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah
, Ghazal Mazaheri, Akash Kumar
, Muhammad Shafique
:
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. DATE 2018: 917-920 - [c7]Alberto Marchisio
, Rachmad Vidya Wicaksana Putra
, Muhammad Abdullah Hanif, Muhammad Shafique
:
HW/SW co-design and co-optimizations for deep learning. INTESA@ESWEEK 2018: 13-18 - [c6]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique
:
Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. FIT 2018: 327-332 - [c5]Alberto Marchisio
, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
:
PruNet: Class-Blind Pruning Method For Deep Neural Networks. IJCNN 2018: 1-8 - [c4]Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra
, Semeen Rehman, Muhammad Shafique
:
Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. IOLTS 2018: 257-260 - [c3]Florian Kriebel, Semeen Rehman, Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique
:
Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. ISVLSI 2018: 581-586 - [i8]Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. CoRR abs/1810.12910 (2018) - [i7]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. CoRR abs/1811.01031 (2018) - [i6]Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. CoRR abs/1811.01437 (2018) - [i5]Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. CoRR abs/1811.01443 (2018) - [i4]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. CoRR abs/1811.01444 (2018) - [i3]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference. CoRR abs/1811.01463 (2018) - [i2]Alberto Marchisio, Muhammad Abdullah Hanif, Semeen Rehman, Maurizio Martina, Muhammad Shafique:
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. CoRR abs/1811.03980 (2018) - [i1]Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. CoRR abs/1811.08932 (2018) - 2017
- [c2]Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan
, Muhammad Shafique
:
QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. DAC 2017: 42:1-42:6 - 2016
- [c1]Muhammad Abdullah Hanif, Asad Anwar Butt, Muhammad Murtaza Khan
:
Detecting riots using action localization. ICIP 2016: 3031-3035
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-14 23:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint