Examining the Robustness of Spiking Neural Networks on Non-ideal
Memristive Crossbars

Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars

20 June 2022

Abhiroop Bhattacharjee

Youngeun Kim

Abhishek Moitra

Priyadarshini Panda

Papers citing "Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars"

6 / 6 papers shown

Title
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators Aditya Manglik Minesh Patel Haiyu Mao Behzad Salami Jisung Park Lois Orosa O. Mutlu 4 1 0 10 Nov 2022
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks Abhishek Moitra Abhiroop Bhattacharjee Runcong Kuang Gokul Krishnan Yu Cao Priyadarshini Panda 8 20 0 24 Oct 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang Kaidi Xu Xing Hu Lei Deng Yuan Xie AAML 18 13 0 12 Apr 2022
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks Abhiroop Bhattacharjee Priyadarshini Panda AAML 12 19 0 25 Aug 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 106 85 0 23 Mar 2020
Mapping Spiking Neural Networks to Neuromorphic Hardware Adarsha Balaji Anup Das Yuefeng Wu Khanh Huynh Francesco DellÁnna Giacomo Indiveri J. Krichmar N. Dutt S. Schaafsma F. Catthoor 26 112 0 04 Sep 2019