HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators. - Ayush Arunachalam; Shamik Kundu; Arnab Raha; Suvadeep Banerjee; Suriyaprakash Natarajan; Kanad Basu (ISQED, 2021)

Fault Resilience of DNN Accelerators for Compressed Sensor Inputs. - Ayush Arunachalam; Shamik Kundu; Arnab Raha; Suvadeep Banerjee; Kanad Basu (ISVLSI, 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 (ITC, 2022)

Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling. - Ayush Arunachalam; S. Novia Berriel; Parag Banerjee; Kanad Basu (CoRR, 2022)

Search Space Reduction for Efficient Quantum Compilation. - Amisha Srivastava; Chao Lu; Navnil Choudhury; Ayush Arunachalam; Kanad Basu (ACM Great Lakes Symposium on VLSI, 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)

Unlocking Hardware Security Assurance: The Potential of LLMs. - Xingyu Meng; Amisha Srivastava; Ayush Arunachalam; Avik Ray; Pedro Henrique Silva; Rafail Psiakis; Yiorgos Makris; Kanad Basu (CoRR, 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., 2023)

NSPG: Natural language Processing-based Security Property Generator for Hardware Security Assurance. - Xingyu Meng; Amisha Srivastava; Ayush Arunachalam; Avik Ray; Pedro Henrique Silva; Rafail Psiakis; Yiorgos Makris; Kanad Basu (DAC, 2024)

Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning. - Ayush Arunachalam; Ian Kintz; Suvadeep Banerjee; Arnab Raha; Xiankun Jin; Fei Su; Viswanathan Pillai Prasanth; Rubin A. Parekhji; Suriyaprakash Natarajan; Kanad Basu (CoRR, 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)