Nitin Rathi

Cache Bypassing and Checkpointing to Circumvent Data Security Attacks on STTRAM

Seyedhamidreza Motaman, Swaroop Ghosh, Nitin Rathi, 2019, IEEE Transactions on Emerging Topics in Computing.

Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations

Kaushik Roy, Priyadarshini Panda, Saima Sharmin, 2020, ECCV.

Side channel attacks on STTRAM and low-overhead countermeasures

Anirudh Iyengar, Helia Naeimi, Swaroop Ghosh, 2016, 2016 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT).

DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks pdf

Kaushik Roy, Nitin Rathi, K. Roy, 2020, ArXiv.

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation pdf

Kaushik Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, 2020, ICLR.

One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency pdf

Kaushik Roy, Sayeed Shafayet Chowdhury, Nitin Rathi, 2021, ArXiv.

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach

Catherine D. Schuman, Steven R. Young, Kaushik Roy, 2021, ICONS.

IMPULSE: A 65-nm Digital Compute-in-Memory Macro With Fused Weights and Membrane Potential for Spike-Based Sequential Learning Tasks

Kaushik Roy, Minsuk Koo, Akhilesh Jaiswal, 2021, IEEE Solid-State Circuits Letters.

Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives

Kaushik Roy, Amogh Agrawal, Nitin Rathi, 2021, 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE).