Shamik Kundu

According to our database, Shamik Kundu authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DiagNNose: Toward Error Localization in Deep Learning Hardware-Based on VTA-TVM Stack.

Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping.

Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu

Trans. Mach. Learn. Res., 2024

AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks.

Sanjay Das, Swastik Bhattacharya, Souvik Kundu, Shamik Kundu, Anand Menon, Arnab Raha, Kanad Basu

CoRR, 2024

FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices.

Arnab Raha, Deepak A. Mathaikutty, Soumendu Kumar Ghosh, Shamik Kundu

CoRR, 2024

Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators.

Sanjay Das, Shamik Kundu, Anand Menon, Yihui Ren, Shubha R. Kharel, Kanad Basu

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds.

Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan

Proceedings of the 37th International Conference on VLSI Design and 23rd International Conference on Embedded Systems, 2024

Machine Learning Intervened RIS-Based RF Interference Management for IoT.

Sakib Reza, Sanjay Das, Shamik Kundu, Kanad Basu, Ifana Mahbub

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

RASH: Reliable Deep Learning Acceleration using Sparsity-based Hardware.

Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Kanad Basu

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

QuEST: Quantum Circuit Output Estimation using Gaussian Distribution Analysis.

Shamik Kundu, Navnil Choudhury, Kanad Basu

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators.

Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

RTL-Spec: RTL Spectrum Analysis for Security Bug Localization.

Samit Shahnawaz Miftah, Shamik Kundu, Austin Mordahl, Shiyi Wei, Kanad Basu

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

QNAD: Quantum Noise Injection for Adversarial Defense in Deep Neural Networks.

Shamik Kundu, Navnil Choudhury, Sanjay Das, Arnab Raha, Kanad Basu

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

Explainability to the Rescue: A Pattern-Based Approach for Detecting Adversarial Attacks.

Sanjay Das, Shamik Kundu, Kanad Basu

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

MENDNet: Just-in-time Fault Detection and Mitigation in AI Systems with Uncertainty Quantification and Multi-Exit Networks.

Shamik Kundu, Mirazul Haque, Sanjay Das, Wei Yang, Kanad Basu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Graph Learning-based Fault Criticality Analysis for Enhancing Functional Safety of E/E Systems.

Sanjay Das, Shamik Kundu, Pooja Madhusoodhanan, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriya Natarajan, Kanad Basu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Trouble-Shooting at GAN Point: Improving Functional Safety in Deep Learning Accelerators.

Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Fei Su, Suriyaprakash Natarajan, Kanad Basu

IEEE Trans. Computers, August, 2023

SeqL+: Secure Scan-Obfuscation With Theoretical and Empirical Validation.

Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators.

Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2023

Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators.

Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu

IEEE Des. Test, April, 2023

Bottlenecks in Secure Adoption of Deep Neural Networks in Safety-Critical Applications.

Sanjay Das, Shamik Kundu, Kanad Basu

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Application Profiling Using Register-Instruction Hardware Performance Counters.

Anand Menon, Amisha Srivastava, Shamik Kundu, Kanad Basu

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2023

2022

RTL-ConTest: Concolic Testing on RTL for Detecting Security Vulnerabilities.

Xingyu Meng, Shamik Kundu, Arun K. Kanuparthi, Kanad Basu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Explainable Machine Learning for Intrusion Detection via Hardware Performance Counters.

Abraham Peedikayil Kuruvila, Xingyu Meng, Shamik Kundu, Gaurav Pandey, Kanad Basu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators.

Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu

Proceedings of the 40th IEEE VLSI Test Symposium, 2022

RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators.

Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu

Proceedings of the IEEE International Test Conference, 2022

Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs.

Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu

Proceedings of the IEEE International Test Conference, 2022

Fault Resilience of DNN Accelerators for Compressed Sensor Inputs.

Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Kanad Basu

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Design and Logic Synthesis of a Scalable, Efficient Quantum Number Theoretic Transform.

Chao Lu, Shamik Kundu, Abraham Peedikayil Kuruvila, Supriya Margabandhu Ravichandran, Kanad Basu

Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Detecting Functional Safety Violations in Online AI Accelerators.

Shamik Kundu, Kanad Basu

Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System Design, 2022

2021

Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators.

Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu

IEEE Trans. Very Large Scale Integr. Syst., 2021

Defending Hardware-Based Malware Detectors Against Adversarial Attacks.

Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Special Session: Reliability Analysis for ML/AI Hardware.

Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin

CoRR, 2021

Special Session: Reliability Analysis for AI/ML Hardware.

Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin

Proceedings of the 39th IEEE VLSI Test Symposium, 2021

Application of Machine Learning in Hardware Trojan Detection.

Shamik Kundu, Xingyu Meng, Kanad Basu

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators.

Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Secure Logic Locking with Strain-Protected Nanomagnet Logic.

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

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Analyzing the Efficiency of Machine Learning Classifiers in Hardware-Based Malware Detectors.

Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu

Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators.

Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu

Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design, 2020

2018

Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach.

Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Dynamic Queuing Model for the Secondary Users in a Cognitive Radio Network for Improvement of QoS.

Kaushik Dutta, Rishav Mukherjee, Anindita Kundu, Shamik Kundu

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018