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ORCIDSemeen Rehman
- > Home > Persons > Semeen Rehman
Publications
- 2022
[j14]Faiq Khalid
, Imran Hafeez Abbassi, Semeen Rehman, Awais Mehmood Kamboh, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1167-1180 (2022)- 2020
- [j11]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) - [c44]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 - 2019
- [c43]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 - [c41]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 - [c40]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. DATE 2019: 914-919 - [c38]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 - [c37]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 - [i11]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) - 2018
- [c34]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 - [c32]Muhammad Shafique, Faiq Khalid, Semeen Rehman:
Intelligent Security Measures for Smart Cyber Physical Systems. DSD 2018: 280-287 - [c31]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 - [c30]Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique:
Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS 2018: 115-118 - [c29]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 - [c28]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 - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. CoRR abs/1812.02770 (2018) - [i1]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits. CoRR abs/1812.05446 (2018)
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