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ORCIDSai Manoj Pudukotai Dinakarrao
Sai Manoj P. D. – Sai Manoj PD
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2020 – today
- 2023
[j34]Sayed Aresh Beheshti-Shirazi
, Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Setareh Rafatirad, Houman Homayoun, Avesta Sasan, Sai Manoj P. D.:
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. IEEE Access 11: 87869-87886 (2023)- [j33]Rakibul Hassan, Xingyu Meng, Kanad Basu, Sai Manoj Pudukotai Dinakarrao:
Circuit Topology-Aware Vaccination-Based Hardware Trojan Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(9): 2852-2862 (2023) - [j32]Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Anirudh Srikanth, Tyler Sheaves, Sayed Arash Beheshti-Shirazi, Sai Manoj PD, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Soheil Salehi:
Hardware Trojan Detection Using Machine Learning: A Tutorial. ACM Trans. Embed. Comput. Syst. 22(3): 46:1-46:26 (2023) - [c93]Katherine Mercado, Sathwika Bavikadi, Sai Manoj P. D.:
Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications. CISS 2023: 1-6 - [c92]Najmeh Nazari, Chongzhou Fang, Sai Manoj P. D., Houman Homayoun:
Don't Cross Me! Cross-layer System Security. DAC 2023: 1-2 - [c91]Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. DATE 2023: 1-6 - [c90]Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
FlutPIM: : A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications. ACM Great Lakes Symposium on VLSI 2023: 207-211 - [c89]Raghul Saravanan, Sathwika Bavikadi, Shubham Rai, Akash Kumar, Sai Manoj Pudukotai Dinakarrao:
Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications. ISCAS 2023: 1-5 - [c88]Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration. ISQED 2023: 1-8 - [c87]Rakibul Hassan, Charan Bandi, Meng-Tien Tsai, Shahriar Golchin, Sai Manoj P. D., Setareh Rafatirad, Soheil Salehi:
Automated Supervised Topic Modeling Framework for Hardware Weaknesses. ISQED 2023: 1-8 - 2022
- [j31]Abhishek Vashist, Maojia Patrick Li, Amlan Ganguly, Sai Manoj P. D., Clark Hochgraf, Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl:
KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware. IEEE Consumer Electron. Mag. 11(4): 65-77 (2022) - [j30]Sai Manoj Pudukotai Dinakarrao, Arun Joseph, Amlan Ganguly, Anand Haridass, Vijay Janappa Reddi:
Guest Editors' Introduction: Special Issue on Benchmarking Machine Learning Systems and Applications. IEEE Des. Test 39(3): 5-7 (2022) - [j29]Sathwika Bavikadi, Abhijitt Dhavlle, Amlan Ganguly, Anand Haridass, Hagar Hendy, Cory E. Merkel, Vijay Janapa Reddi, Purab Ranjan Sutradhar, Arun Joseph, Sai Manoj Pudukotai Dinakarrao:
A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms. IEEE Des. Test 39(3): 91-116 (2022) - [j28]Abhijitt Dhavlle, Setareh Rafatirad, Khaled N. Khasawneh, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Imitating Functional Operations for Mitigating Side-Channel Leakage. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 868-881 (2022) - [j27]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Neural Network-Based Cognitive Obfuscation Toward Enhanced Logic Locking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4587-4599 (2022) - [j26]Gaurav Kolhe, Tyler David Sheaves, Sai Manoj P. D., Hamid Mahmoodi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Breaking the Design and Security Trade-off of Look-up-table-based Obfuscation. ACM Trans. Design Autom. Electr. Syst. 27(6): 56:1-56:29 (2022) - [j25]Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark Connolly, Savankumar Prajapati, Mark Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications. IEEE Trans. Parallel Distributed Syst. 33(2): 263-275 (2022) - [c86]Gaurav Kolhe, Tyler David Sheaves, Kevin Immanuel Gubbi, Soheil Salehi, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Houman Homayoun:
LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. DAC 2022: 85-90 - [c85]Gaurav Kolhe, Tyler Sheaves, Kevin Immanuel Gubbi, Tejas Kadale, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Hamid Mahmoodi, Houman Homayoun:
Silicon validation of LUT-based logic-locked IP cores. DAC 2022: 1189-1194 - [c84]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. DATE 2022: 508-513 - [c83]Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications. DSD 2022: 889-898 - [c82]Sai Manoj Pudukotai Dinakarrao:
Session details: Session 7A: Special Session - 3: Machine Learning-Aided Computer-Aided Design. ACM Great Lakes Symposium on VLSI 2022 - [c81]Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.:
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. ACM Great Lakes Symposium on VLSI 2022: 153-157 - [c80]Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Seyed Aresh Beheshti Shirazi, Ali Mirzaeian, Xiaojie Guo, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao, Avesta Sasan:
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. ACM Great Lakes Symposium on VLSI 2022: 493-500 - [c79]Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj P. D.:
CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection. ACM Great Lakes Symposium on VLSI 2022: 507-512 - [c78]Kevin Immanuel Gubbi, Sayed Aresh Beheshti-Shirazi, Tyler David Sheaves, Soheil Salehi, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Survey of Machine Learning for Electronic Design Automation. ACM Great Lakes Symposium on VLSI 2022: 513-518 - [c77]Abhishek Vashist, Sharan Vidash Vidya Shanmugham, Amlan Ganguly, Sai Manoj P. D.:
DQN Based Exit Selection in Multi-Exit Deep Neural Networks for Applications Targeting Situation Awareness. ICCE 2022: 1-6 - [c76]Pavlos Zouridakis, Sai Manoj Pudukotai Dinakarrao:
Performance-aware Lightweight Dynamic Early-Exit-based Gait Authentication. ISCAS 2022: 1-5 - [c75]Ali Mirzaeian, Zhi Tian, Sai Manoj P. D., Banafsheh S. Latibari, Ioannis Savidis, Houman Homayoun, Avesta Sasan:
Adaptive-Gravity: A Defense Against Adversarial Samples. ISQED 2022: 96-101 - [c74]Shiyi Liu, Sathwika Bavikadi, Tanmoy Sen, Haiying Shen, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao, Brian L. Smith:
Accelerating Adversarial Attack using Process-in-Memory Architecture. MSN 2022: 325-330 - [c73]Soheil Salehi, Tyler David Sheaves, Kevin Immanuel Gubbi, Sayed Arash Beheshti, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Tinoosh Mohsenin, Houman Homayoun:
Neuromorphic-Enabled Security for IoT. NEWCAS 2022: 153-157 - [c72]Prangon Das, Purab Ranjan Sutradhar, Mark Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Implementation and Evaluation of Deep Neural Networks in Commercially Available Processing in Memory Hardware. SOCC 2022: 1-6 - [c71]Sunanda Roy, Angelos Stavrou, Brian L. Mark, Kai Zeng, Sai Manoj P. D., Khaled N. Khasawneh:
Characterization of AES Implementations on Microprocessor-based IoT Devices. WCNC 2022: 55-60 - [i8]Ali Mirzaeian, Zhi Tian, Sai Manoj P. D., Banafsheh S. Latibari, Ioannis Savidis, Houman Homayoun, Avesta Sasan:
Adaptive-Gravity: A Defense Against Adversarial Samples. CoRR abs/2204.03694 (2022) - [i7]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking. CoRR abs/2209.05799 (2022) - 2021
- [j24]Sai Manoj Pudukotai Dinakarrao, Hantao Huang, Hao Yu:
Energy-Efficient and Error-Resilient Cognitive I/O for 3-D-Integrated Manycore Microprocessors. IEEE Des. Test 38(6): 88-95 (2021) - [j23]Han Wang, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Enabling Micro AI for Securing Edge Devices at Hardware Level. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 803-815 (2021) - [j22]Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - [j21]Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep graph transformation for attributed, directed, and signed networks. Knowl. Inf. Syst. 63(6): 1305-1337 (2021) - [j20]M. Meraj Ahmed, Amlan Ganguly, Abhishek Vashist, Sai Manoj Pudukotai Dinakarrao:
AWARe-Wi: A jamming-aware reconfigurable wireless interconnection using adversarial learning for multichip systems. Sustain. Comput. Informatics Syst. 29(Part): 100470 (2021) - [j19]Sai Manoj Pudukotai Dinakarrao:
Self-aware power management for multi-core microprocessors. Sustain. Comput. Informatics Syst. 29(Part): 100480 (2021) - [j18]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun:
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 18:1-18:24 (2021) - [c70]Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
uPIM: Performance-aware Online Learning Capable Processing-in-Memory. AICAS 2021: 1-4 - [c69]Sreenitha Kasarapu, Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Demography-aware COVID-19 Confinement with Game Theory. AICAS 2021: 1-4 - [c68]Han Wang, Soheil Salehi, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS 2021: 1-4 - [c67]Gaurav Kolhe, Soheil Salehi, Tyler David Sheaves, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan:
Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. DAC 2021: 229-234 - [c66]Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad:
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. DAC 2021: 967-972 - [c65]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Cognitive SAT to SAT-Hard Clause Translation-based Logic Obfuscation. DATE 2021: 1172-1177 - [c64]Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. DATE 2021: 1769-1774 - [c63]Sayed Aresh Beheshti-Shirazi, Ashkan Vakil, Sai Manoj P. D., Ioannis Savidis, Houman Homayoun, Avesta Sasan:
A Reinforced Learning Solution for Clock Skew Engineering to Reduce Peak Current and IR Drop. ACM Great Lakes Symposium on VLSI 2021: 181-187 - [c62]Neha Nagarkar, Khaled N. Khasawneh, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering. ACM Great Lakes Symposium on VLSI 2021: 195-200 - [c61]Siddharth Barve, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao, Rashmi Jha:
Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. ACM Great Lakes Symposium on VLSI 2021: 201-206 - [c60]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Performance-aware Malware Epidemic Confinement in Large-Scale IoT Networks. ICC 2021: 1-6 - [c59]Purab Ranjan Sutradhar, Kanad Basu, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
An Ultra-efficient Look-up Table based Programmable Processing in Memory Architecture for Data Encryption. ICCD 2021: 252-259 - [c58]M. Meraj Ahmed, Abhijitt Dhavlle, Naseef Mansoor, Sai Manoj Pudukotai Dinakarrao, Kanad Basu, Amlan Ganguly:
What Can a Remote Access Hardware Trojan do to a Network-on-Chip? ISCAS 2021: 1-5 - [c57]Abhijitt Dhavlle, Rakibul Hassan, Manideep Mittapalli, Sai Manoj Pudukotai Dinakarrao:
Design of Hardware Trojans and its Impact on CPS Systems: A Comprehensive Survey. ISCAS 2021: 1-5 - [c56]Xingyu Meng, Rakibul Hassan, Sai Manoj Pudukotai Dinakarrao, Kanad Basu:
Can Overclocking Detect Hardware Trojans? ISCAS 2021: 1-5 - [c55]Han Wang, Hossein Sayadi, Avesta Sasan, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. ISQED 2021: 79-84 - [c54]Ali Mirzaeian, Sai Manoj P. D., Ashkan Vakil, Houman Homayoun, Avesta Sasan:
Conditional Classification: A Solution for Computational Energy Reduction. ISQED 2021: 325-330 - [c53]Charan Bandi, Soheil Salehi, Rakibul Hassan, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware. ICSC 2021: 211-214 - [c52]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Power Swapper: Approximate Functional Block Assisted Cryptosystem Security. SoCC 2021: 101-105 - [i6]Amir Hosein Afandizadeh Zargari, Marzieh Ashrafiamiri, Minjun Seo, Sai Manoj Pudukotai Dinakarrao, Mohammed E. Fouda, Fadi J. Kurdahi:
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. CoRR abs/2110.11459 (2021) - 2020
- [j17]Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun:
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8: 138508-138528 (2020) - [j16]Purab Ranjan Sutradhar, Mark Connolly, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark Indovina, Amlan Ganguly:
pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning. IEEE Comput. Archit. Lett. 19(2): 118-121 (2020) - [j15]Santiago Pagani, Sai Manoj P. D., Axel Jantsch, Jörg Henkel:
Machine Learning for Power, Energy, and Thermal Management on Multicore Processors: A Survey. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 101-116 (2020) - [c51]M. Meraj Ahmed, Abhijitt Dhavlle, Naseef Mansoor, Purab Ranjan Sutradhar, Sai Manoj Pudukotai Dinakarrao, Kanad Basu, Amlan Ganguly:
Defense Against on-Chip Trojans Enabling Traffic Analysis Attacks. AsianHOST 2020: 1-6 - [c50]M. Meraj Ahmed, Abhishek Vashist, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Architecting a Secure Wireless Interconnect for Multichip Communication: An ML Approach. AsianHOST 2020: 1-6 - [c49]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao:
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE 2020: 358-363 - [c48]Sathwika Bavikadi, Purab Ranjan Sutradhar, Khaled N. Khasawneh, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
A Review of In-Memory Computing Architectures for Machine Learning Applications. ACM Great Lakes Symposium on VLSI 2020: 89-94 - [c47]Claudio Canella, Sai Manoj Pudukotai Dinakarrao, Daniel Gruss, Khaled N. Khasawneh:
Evolution of Defenses against Transient-Execution Attacks. ACM Great Lakes Symposium on VLSI 2020: 169-174 - [c46]Abhijitt Dhavlle, Sai Manoj Pudukotai Dinakarrao:
A Comprehensive Review of ML-based Time-Series and Signal Processing Techniques and their Hardware Implementations. IGSC (Workshops) 2020: 1-8 - [c45]Abhishek Vashist, Darshan Ramesh Bhanushali, Robert Relyea, Clark Hochgraf, Amlan Ganguly, Sai Manoj P. D., Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl:
Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling. ICCE 2020: 1-6 - [c44]Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan:
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. ISQED 2020: 27-32 - [c43]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
SATConda: SAT to SAT-Hard Clause Translator. ISQED 2020: 155-160 - [c42]Abhijitt Dhavlle, Raj Mehta, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Entropy-Shield: Side-Channel Entropy Maximization for Timing-based Side-Channel Attacks. ISQED 2020: 161-166 - [c41]Marzieh Ashrafiamiri, Sai Manoj Pudukotai Dinakarrao, Amir Hosein Afandizadeh Zargari, Minjun Seo, Fadi J. Kurdahi, Houman Homayoun:
R2AD: Randomization and Reconstructor-based Adversarial Defense on Deep Neural Network. MLCAD 2020: 21-26 - [c40]Shervin Roshanisefat, Hadi Mardani Kamali, Kimia Zamiri Azar, Sai Manoj Pudukotai Dinakarrao, Naghmeh Karimi, Houman Homayoun, Avesta Sasan:
DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain. VTS 2020: 1-6 - [i5]Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan:
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. CoRR abs/2001.06099 (2020) - [i4]Shervin Roshanisefat, Hadi Mardani Kamali, Kimia Zamiri Azar, Sai Manoj Pudukotai Dinakarrao, Naghmeh Karimi, Houman Homayoun, Avesta Sasan:
DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain. CoRR abs/2002.07857 (2020) - [i3]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. CoRR abs/2003.09945 (2020)
2010 – 2019
- 2019
- [j14]Sai Manoj Pudukotai Dinakarrao, Axel Jantsch, Muhammad Shafique:
Computer-aided Arrhythmia Diagnosis with Bio-signal Processing: A Survey of Trends and Techniques. ACM Comput. Surv. 52(2): 23:1-23:37 (2019) - [j13]Sai Manoj Pudukotai Dinakarrao, Arun Joseph, Anand Haridass, Muhammad Shafique, Jörg Henkel, Houman Homayoun:
Application and Thermal-reliability-aware Reinforcement Learning Based Multi-core Power Management. ACM J. Emerg. Technol. Comput. Syst. 15(4): 33:1-33:19 (2019) - [j12]Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Unified Testing and Security Framework for Wireless Network-on-Chip Enabled Multi-Core Chips. ACM Trans. Embed. Comput. Syst. 18(5s): 75:1-75:20 (2019) - [j11]Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Securing a Wireless Network-on-Chip Against Jamming-Based Denial-of-Service and Eavesdropping Attacks. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2781-2791 (2019) - [c39]Abhijitt Dhavlle, Sahil Bhat, Setareh Rafatirad, Houman Homayoun, Sai Manoj P. D.:
Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks. CASES (work in progress) 2019: 1-2 - [c38]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
SAT to SAT-Hard Clause Translator. CASES (work in progress) 2019: 1-2 - [c37]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. CASES (work in progress) 2019: 1-2 - [c36]Sai Manoj Pudukotai Dinakarrao, Sairaj Amberkar, Sahil Bhat, Abhijitt Dhavlle, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Adversarial Attack on Microarchitectural Events based Malware Detectors. DAC 2019: 164 - [c35]Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE 2019: 728-733 - [c34]Sai Manoj Pudukotai Dinakarrao, Hossein Sayadi, Hosein Mohammadi Makrani, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun:
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. DATE 2019: 776-781 - [c33]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. FPL 2019: 397-403 - [c32]Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad, Hamid Mahmoodi, Avesta Sasan, Houman Homayoun:
On Custom LUT-based Obfuscation. ACM Great Lakes Symposium on VLSI 2019: 477-482 - [c31]Martin Lechner, Axel Jantsch, Sai Manoj Pudukotai Dinakarrao:
ResCoNN: Resource-Efficient FPGA-Accelerated CNN for Traffic Sign Classification. IGSC 2019: 1-6 - [c30]Gaurav Kolhe, Hadi Mardani Kamali, Miklesh Naicker, Tyler David Sheaves, Hamid Mahmoodi, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad, Avesta Sasan:
Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality. ICCAD 2019: 1-8 - [c29]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. ICDM 2019: 250-259 - [c28]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. ICMLA 2019: 406-409 - [c27]Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad:
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. ICTAI 2019: 590-597 - [c26]Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly:
Securing a Wireless Network-on-Chip Against Jamming Based Denial-of-Service Attacks. ISVLSI 2019: 320-325 - [i2]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu:
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR abs/1902.05357 (2019) - [i1]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. CoRR abs/1907.12952 (2019) - 2018
- [j10]Dongjun Xu, Ningmei Yu, Hantao Huang, Sai Manoj Pudukotai Dinakarrao, Hao Yu:
Q-Learning-Based Voltage-Swing Tuning and Compensation for 2.5-D Memory-Logic Integration. IEEE Des. Test 35(2): 91-99 (2018) - [j9]Sai Manoj P. D., Axel Jantsch, Muhammad Shafique:
SmartDPM: Machine Learning-Based Dynamic Power Management for Multi-Core Microprocessors. J. Low Power Electron. 14(4): 460-474 (2018) - [j8]Matthias Wess, Sai Manoj Pudukotai Dinakarrao, Axel Jantsch:
Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2929-2939 (2018) - [c25]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. ASAP 2018: 1-8 - [c24]Ferdinand Brasser, Lucas Davi, Abhijitt Dhavlle, Tommaso Frassetto, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Ahmad-Reza Sadeghi, Avesta Sasan, Hossein Sayadi, Shaza Zeitouni, Houman Homayoun:
Advances and throwbacks in hardware-assisted security: special session. CASES 2018: 15:1-15:10 - [c23]Hossein Sayadi, Sai Manoj P. D., Amir Houmansadr, Setareh Rafatirad, Houman Homayoun:
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. CF 2018: 212-215 - [c22]Hossein Sayadi, Nisarg Patel, Sai Manoj P. D., Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. DAC 2018: 1:1-1:6 - [c21]