Key factors in road-rail mode choice in India: applying the logistics cost approach. - Peter D. Cook; Sanjay Das; Andreas Aeppli; Carl Martland (WSC, 1999)

Adaptable Multi-level Voltage to Binary Converter Using Ferroelectric FETs. - Sanjay Das; Arun Govindankutty; Shan Deng; Kai Ni 004; Sumitha George (ISVLSI, 2022)

Ternary In-Memory Computing with Cryogenic Quantum Anomalous Hall Effect Memories. - Arun Govindankutty; Shamiul Alam; Sanjay Das; Nagadastagiri Challapalle; Ahmedullah Aziz; Sumitha George (ACM Great Lakes Symposium on VLSI, 2023)

Cryogenic In-memory Binary Multiplier Using Quantum Anomalous Hall Effect Memories. - Arun Govindankutty; Shamiul Alam; Sanjay Das; Ahmedullah Aziz; Sumitha George (ISQED, 2023)

Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits. - Ayush Arunachalam; Sanjay Das; Monikka Rajan; Fei Su; Xiankun Jin; Suvadeep Banerjee; Arnab Raha; Suriyaprakash Natarajan; Kanad Basu (ITC, 2023)

Bottlenecks in Secure Adoption of Deep Neural Networks in Safety-Critical Applications. - Sanjay Das; Shamik Kundu; Kanad Basu (MWSCAS, 2023)

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 (DAC, 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 013; Kanad Basu (DAC, 2024)

Explainability to the Rescue: A Pattern-Based Approach for Detecting Adversarial Attacks. - Sanjay Das; Shamik Kundu; Kanad Basu (HOST, 2024)

QNAD: Quantum Noise Injection for Adversarial Defense in Deep Neural Networks. - Shamik Kundu; Navnil Choudhury; Sanjay Das; Arnab Raha; Kanad Basu (HOST, 2024)

Machine Learning Intervened RIS-Based RF Interference Management for IoT. - Sakib Reza; Sanjay Das; Shamik Kundu; Kanad Basu; Ifana Mahbub (ISVLSI, 2024)

Analyzing and Mitigating Circuit Aging Effects in Deep Learning Accelerators. - Sanjay Das; Shamik Kundu; Anand Menon; Yihui Ren 001; Shubha R. Kharel; Kanad Basu (VTS, 2024)

AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks. - Sanjay Das; Swastik Bhattacharya; Souvik Kundu 009; Shamik Kundu; Anand Menon; Arnab Raha; Kanad Basu (CoRR, 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 009; Yiorgos Makris; Kanad Basu (Trans. Mach. Learn. Res., 2024)

SCAR: Power Side-Channel Analysis at RTL Level. - Amisha Srivastava; Sanjay Das; Navnil Choudhury; Rafail Psiakis; Pedro Henrique Silva; Debjit Pal; Kanad Basu (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Enhancing AMS Circuit Reliability: An Anomaly Dataset for Functional Safety Research in Automotive SoCs. - 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; et al. (ACM Great Lakes Symposium on VLSI, 2025)

Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers. - Navnil Choudhury; Chaithanya Naik Mude; Sanjay Das; Preetham Chandra Tikkireddi; Swamit Tannu; Kanad Basu (NDSS, 2025)

Efficient Explainable Boosting Machine for RF Active Metasurface Array Synthesis. - Sakib Reza; Sanjay Das; Shamik Kundu; Kanad Basu; Ifana Mahbub (RWS, 2025)

Advancing Functional Safety: Improving Failure Mode Analysis and Fault Injection Using Automation and GNN Algorithms. - Amurt Prakash; Abhijeet Singh; Pooja Madhusoodhanan; Padma Arvind; Viswanathan Pillai Prasanth; Sanjay Das; Kanad Basu (VLSID, 2025)