Shamik Kundu - RankMe

59 papers A* 4A 5B 2C 2Misc 5Journal 23Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. ISLPED Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna
2025	J	`jnl`	Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. CoRR Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak A. Mathaikutty, Tushar Krishna
2025	J	`jnl`	AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks. Trans. Mach. Learn. Res. Sanjay Das, Swastik Bhattacharya, Souvik Kundu, Shamik Kundu, Anand Menon, Arnab Raha, Kanad Basu
2025	J	`jnl`	COBRA: Catastrophic Bit-flip Reliability Analysis of State-Space Models. CoRR Sanjay Das, Swastik Bhattacharya, Shamik Kundu, Arnab Raha, Souvik Kundu, Kanad Basu
2025	—	`conf`	CONCEAL: Covert NoC Exploitation in In-Memory Computing-based DNN Accelerators. COINS Sanjay Das, Shamik Kundu, Sumit Kumar Mandal, Kanad Basu
2025	—	`conf`	Constraint-Aware Ontology Engineering for Information Extraction from Financial Contracts. ISWC (Industry/Doctoral Consortium/Posters/Demos) Ryoma Kondo, Shamik Kundu, Muneaki Imai, Kyosuke Tomoda, Yuki Takazawa, Ryohei Hisano
2025	—	`conf`	Efficient Explainable Boosting Machine for RF Active Metasurface Array Synthesis. RWS Sakib Reza, Sanjay Das, Shamik Kundu, Kanad Basu, Ifana Mahbub
2025	—	`conf`	Enhancing AMS Circuit Reliability: An Anomaly Dataset for Functional Safety Research in Automotive SoCs. ACM Great Lakes Symposium on VLSI Sanjay Das, Anand Menon, Omar Abiola Abioye, Afreen Fatimah Khazi-Syed, Jonathan Edward Lee, Ayush Arunachalam, Shamik Kundu, Pooja Madhusoodhanan, Prasanth Viswanathan Pillai, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
2025	J	`jnl`	Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset. CoRR Anand Menon, Samit S. Miftah, Shamik Kundu, Souvik Kundu, Amisha Srivastava, Arnab Raha, Gabriel Theodor Sonnenschein, Suvadeep Banerjee, Deepak Mathaikutty, Kanad Basu
2025	B	`conf`	GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. IJCNN Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan
2025	J	`jnl`	GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. CoRR Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan
2025	—	`conf`	LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units. COINS Arnab Raha, Souvik Kundu, Sharath Nittur Sridhar, Shamik Kundu, Soumendu Kumar Ghosh, Alessandro Palla, Arghadip Das, Darren Crews, Deepak A. Mathaikutty
2025	A*	`conf`	Machine Learning-Driven STL Generation for Enhancing Functional Safety of E/E Systems. DAC Sanjay Das, Swastik Bhattacharya, Anand Menon, Shamik Kundu, Pooja Madhusoodhanan, Prasanth Viswanathan Pillai, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
2025	Misc	`conf`	OpenAssert: Towards Secure Assertion Generation using Large Language Models. VTS Anand Menon, Samit Shahnawaz Miftah, Amisha Srivastava, Shamik Kundu, Shovik Kundu, Arnab Raha, Suvadeep Banerjee, Deepak Mathaikutty, Kanad Basu
2025	J	`jnl`	SafeCiM: Investigating Resilience of Hybrid Floating-Point Compute-in-Memory Deep Learning Accelerators. CoRR Swastik Bhattacharya, Sanjay Das, Anand Menon, Shamik Kundu, Arnab Raha, Kanad Basu
2025	J	`jnl`	XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units. CoRR Arghadip Das, Arnab Raha, Shamik Kundu, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan
2024	Misc	`conf`	Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators. VTS Sanjay Das, Shamik Kundu, Anand Menon, Yihui Ren, Shubha R. Kharel, Kanad Basu
2024	J	`jnl`	AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks. CoRR Sanjay Das, Swastik Bhattacharya, Souvik Kundu, Shamik Kundu, Anand Menon, Arnab Raha, Kanad Basu
2024	J	`jnl`	Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. Trans. Mach. Learn. Res. Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu
2024	J	`jnl`	DiagNNose: Toward Error Localization in Deep Learning Hardware-Based on VTA-TVM Stack. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
2024	—	`conf`	Explainability to the Rescue: A Pattern-Based Approach for Detecting Adversarial Attacks. HOST Sanjay Das, Shamik Kundu, Kanad Basu
2024	J	`jnl`	FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices. CoRR Arnab Raha, Deepak A. Mathaikutty, Soumendu Kumar Ghosh, Shamik Kundu
2024	A*	`conf`	Graph Learning-based Fault Criticality Analysis for Enhancing Functional Safety of E/E Systems. DAC Sanjay Das, Shamik Kundu, Pooja Madhusoodhanan, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriya Natarajan, Kanad Basu
2024	Misc	`conf`	HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds. VLSID Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan
2024	A*	`conf`	MENDNet: Just-in-time Fault Detection and Mitigation in AI Systems with Uncertainty Quantification and Multi-Exit Networks. DAC Shamik Kundu, Mirazul Haque, Sanjay Das, Wei Yang, Kanad Basu
2024	—	`conf`	Machine Learning Intervened RIS-Based RF Interference Management for IoT. ISVLSI Sakib Reza, Sanjay Das, Shamik Kundu, Kanad Basu, Ifana Mahbub
2024	—	`conf`	QNAD: Quantum Noise Injection for Adversarial Defense in Deep Neural Networks. HOST Shamik Kundu, Navnil Choudhury, Sanjay Das, Arnab Raha, Kanad Basu
2024	—	`conf`	QuEST: Quantum Circuit Output Estimation using Gaussian Distribution Analysis. ISQED Shamik Kundu, Navnil Choudhury, Kanad Basu
2024	—	`conf`	RASH: Reliable Deep Learning Acceleration using Sparsity-based Hardware. ISQED Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Kanad Basu
2024	—	`conf`	RTL-Spec: RTL Spectrum Analysis for Security Bug Localization. HOST Samit Shahnawaz Miftah, Shamik Kundu, Austin Mordahl, Shiyi Wei, Kanad Basu
2024	A	`conf`	SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. ISLPED Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty
2023	J	`jnl`	A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
2023	J	`jnl`	Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators. IEEE Des. Test Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
2023	—	`conf`	Application Profiling Using Register-Instruction Hardware Performance Counters. ISVLSI Anand Menon, Amisha Srivastava, Shamik Kundu, Kanad Basu
2023	—	`conf`	Bottlenecks in Secure Adoption of Deep Neural Networks in Safety-Critical Applications. MWSCAS Sanjay Das, Shamik Kundu, Kanad Basu
2023	J	`jnl`	SeqL+: Secure Scan-Obfuscation With Theoretical and Empirical Validation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu
2023	J	`jnl`	Trouble-Shooting at GAN Point: Improving Functional Safety in Deep Learning Accelerators. IEEE Trans. Computers Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Fei Su, Suriyaprakash Natarajan, Kanad Basu
2022	A	`conf`	Design and Logic Synthesis of a Scalable, Efficient Quantum Number Theoretic Transform. ISLPED Chao Lu, Shamik Kundu, Abraham Peedikayil Kuruvila, Supriya Margabandhu Ravichandran, Kanad Basu
2022	C	`conf`	Detecting Functional Safety Violations in Online AI Accelerators. IOLTS Shamik Kundu, Kanad Basu
2022	J	`jnl`	Explainable Machine Learning for Intrusion Detection via Hardware Performance Counters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Abraham Peedikayil Kuruvila, Xingyu Meng, Shamik Kundu, Gaurav Pandey, Kanad Basu
2022	—	`conf`	Fault Resilience of DNN Accelerators for Compressed Sensor Inputs. ISVLSI Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Kanad Basu
2022	A	`conf`	RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators. ITC Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu
2022	J	`jnl`	RTL-ConTest: Concolic Testing on RTL for Detecting Security Vulnerabilities. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xingyu Meng, Shamik Kundu, Arun K. Kanuparthi, Kanad Basu
2022	Misc	`conf`	Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators. VTS Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu
2022	A	`conf`	Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. ITC Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu
2021	—	`conf`	Application of Machine Learning in Hardware Trojan Detection. ISQED Shamik Kundu, Xingyu Meng, Kanad Basu
2021	J	`jnl`	Defending Hardware-Based Malware Detectors Against Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu
2021	—	`conf`	HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators. ISQED Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
2021	A*	`conf`	Secure Logic Locking with Strain-Protected Nanomagnet Logic. DAC 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
2021	J	`jnl`	SeqL+: Secure Scan-Obfuscation with Theoretical and Empirical Validation. IACR Cryptol. ePrint Arch. Seetal Potluri, Shamik Kundu, Akash Kumar, Kanad Basu, Aydin Aysu
2021	Misc	`conf`	Special Session: Reliability Analysis for AI/ML Hardware. VTS Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
2021	J	`jnl`	Special Session: Reliability Analysis for ML/AI Hardware. CoRR Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin
2021	J	`jnl`	Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators. IEEE Trans. Very Large Scale Integr. Syst. Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
2020	—	`conf`	Analyzing the Efficiency of Machine Learning Classifiers in Hardware-Based Malware Detectors. ISVLSI Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu
2020	J	`jnl`	Defending Hardware-based Malware Detectors against Adversarial Attacks. CoRR Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu
2020	C	`conf`	High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. IOLTS Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu
2020	J	`jnl`	High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. CoRR Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu
2018	B	`conf`	Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach. ASONAM Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar
2018	—	`conf`	Dynamic Queuing Model for the Secondary Users in a Cognitive Radio Network for Improvement of QoS. ANTS Kaushik Dutta, Rishav Mukherjee, Anindita Kundu, Shamik Kundu