Shamik Kundu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Intrusion Detection

Empirical Validation

Special Session

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Kanad Basu
RASH: Reliable Deep Learning Acceleration using Sparsity-based Hardware. ISQED (2024)
Sanjay Das, Shamik Kundu, Kanad Basu
Explainability to the Rescue: A Pattern-Based Approach for Detecting Adversarial Attacks. HOST (2024)
Arnab Raha, Deepak A. Mathaikutty, Soumendu Kumar Ghosh, Shamik Kundu
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices. CoRR (2024)
Shamik Kundu, Navnil Choudhury, Sanjay Das, Arnab Raha, Kanad Basu
QNAD: Quantum Noise Injection for Adversarial Defense in Deep Neural Networks. HOST (2024)
Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. Trans. Mach. Learn. Res. 2024 (2024)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
DiagNNose: Toward Error Localization in Deep Learning Hardware-Based on VTA-TVM Stack. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (1) (2024)
Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan
HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds. VLSID (2024)
Shamik Kundu, Navnil Choudhury, Kanad Basu
QuEST: Quantum Circuit Output Estimation using Gaussian Distribution Analysis. ISQED (2024)
Sanjay Das, Shamik Kundu, Anand Menon, Yihui Ren, Shubha Kharel, Kanad Basu
Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators. VTS (2024)
Samit Shahnawaz Miftah, Shamik Kundu, Austin Mordahl, Shiyi Wei, Kanad Basu
RTL-Spec: RTL Spectrum Analysis for Security Bug Localization. HOST (2024)
Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators. IEEE Des. Test 40 (2) (2023)
Anand Menon, Amisha Srivastava, Shamik Kundu, Kanad Basu
Application Profiling Using Register-Instruction Hardware Performance Counters. ISVLSI (2023)
Sanjay Das, Shamik Kundu, Kanad Basu
Bottlenecks in Secure Adoption of Deep Neural Networks in Safety-Critical Applications. MWSCAS (2023)
Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu
SeqL+: Secure Scan-Obfuscation With Theoretical and Empirical Validation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (5) (2023)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Fei Su, Suriyaprakash Natarajan, Kanad Basu
Trouble-Shooting at GAN Point: Improving Functional Safety in Deep Learning Accelerators. IEEE Trans. Computers 72 (8) (2023)
Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (2023)
Ayush Arunachalam, Shamik Kundu, Arnab Rahat, Suvadeep Banerjee, Kanad Basu
Fault Resilience of DNN Accelerators for Compressed Sensor Inputs. ISVLSI (2022)
Abraham Peedikayil Kuruvila, Xingyu Meng, Shamik Kundu, Gaurav Pandey, Kanad Basu
Explainable Machine Learning for Intrusion Detection via Hardware Performance Counters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Xingyu Meng, Shamik Kundu, Arun K. Kanuparthi, Kanad Basu
RTL-ConTest: Concolic Testing on RTL for Detecting Security Vulnerabilities. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu
RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators. ITC (2022)
Shamik Kundu, Kanad Basu
Detecting Functional Safety Violations in Online AI Accelerators. IOLTS (2022)
Chao Lu, Shamik Kundu, Abraham Peedikayil Kuruvila, Supriya Margabandhu Ravichandran, Kanad Basu
Design and Logic Synthesis of a Scalable, Efficient Quantum Number Theoretic Transform. ISLPED (2022)
Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu
Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. ITC (2022)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu
Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators. VTS (2022)
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
Special Session: Reliability Analysis for ML/AI Hardware. CoRR (2021)
Shamik Kundu, Xingyu Meng, Kanad Basu
Application of Machine Learning in Hardware Trojan Detection. ISQED (2021)
Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu
SeqL+: Secure Scan-Obfuscation with Theoretical and Empirical Validation. IACR Cryptol. ePrint Arch. 2021 (2021)
Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators. ISQED (2021)
Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu
Defending Hardware-Based Malware Detectors Against Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (9) (2021)
Naimul Hassan, Alexander J. Edwards, Dhritiman Bhattacharya, Mustafa M. Shihab, Varun Venkat, Peng Zhou, Xuan Hu, Shamik Kundu, Abraham Peedikayil Kuruvila, Kanad Basu, Jayasimha Atulasimha, Yiorgos Makris, Joseph S. Friedman
Secure Logic Locking with Strain-Protected Nanomagnet Logic. DAC (2021)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29 (3) (2021)
Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
Special Session: Reliability Analysis for AI/ML Hardware. VTS (2021)
Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. IOLTS (2020)
Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu
Defending Hardware-based Malware Detectors against Adversarial Attacks. CoRR (2020)
Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu
Analyzing the Efficiency of Machine Learning Classifiers in Hardware-Based Malware Detectors. ISVLSI (2020)
Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. CoRR (2020)
Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar
Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach. ASONAM (2018)
Kaushik Dutta, Rishav Mukherjee, Anindita Kundu, Shamik Kundu
Dynamic Queuing Model for the Secondary Users in a Cognitive Radio Network for Improvement of QoS. ANTS (2018)