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PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks


Apr 07, 2021
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda


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Visual Explanations from Spiking Neural Networks using Interspike Intervals


Mar 26, 2021
Youngeun Kim, Priyadarshini Panda


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Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks


Jan 12, 2021
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda

* Published in Design, Automation and Test in Europe (DATE) conference 

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Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks


Jan 05, 2021
Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda


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Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks


Nov 26, 2020
Abhishek Moitra, Priyadarshini Panda

* 11 pages, 13 figures 

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Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch


Oct 27, 2020
Youngeun Kim, Priyadarshini Panda


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Compression-aware Continual Learning using Singular Value Decomposition


Sep 14, 2020
Varigonda Pavan Teja, Priyadarshini Panda

* 13 pages, 2 figures, 4 tables 

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Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks


Aug 25, 2020
Abhiroop Bhattacharjee, Priyadarshini Panda

* 11 pages, 13 figures 

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Domain Adaptation without Source Data


Jul 11, 2020
Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda

* 13 pages 

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


May 04, 2020
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy

* International Conference on Learning Representations (ICLR), 2020 https://openreview.net/forum?id=B1xSperKvH&noteId=B1xSperKvH 

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QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks


Apr 22, 2020
Priyadarshini Panda

* 7 pages, 4 figures, 7 tables 

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


Mar 23, 2020
Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy


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Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks


Mar 05, 2020
Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan


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Energy-efficient and Robust Cumulative Training with Net2Net Transformation


Mar 02, 2020
Aosong Feng, Priyadarshini Panda

* 6 pages, 6 figures, 2 Tables 

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Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors


Feb 26, 2020
Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy

* 16 pages, 3 figures, 6 tables 

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Activation Density driven Energy-Efficient Pruning in Training


Feb 07, 2020
Timothy Foldy-Porto, Priyadarshini Panda

* 7 pages, 3 figures, 3 tables 

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Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization


Oct 30, 2019
Priyadarshini Panda, Aparna Aketi, Kaushik Roy

* 14 pages, 7 figures, 17 tables 

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Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis


May 08, 2019
Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy

* Accepted in IJCNN 2019 

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A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks


May 07, 2019
Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy

* Accepted in IJCNN2019 

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Discretization based Solutions for Secure Machine Learning against Adversarial Attacks


Feb 11, 2019
Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy

* 8 pages, 8 Figures, 6 Tables 

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A Low Effort Approach to Structured CNN Design Using PCA


Dec 15, 2018
Isha Garg, Priyadarshini Panda, Kaushik Roy


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Explainable Learning: Implicit Generative Modelling during Training for Adversarial Robustness


Jul 05, 2018
Priyadarshini Panda, Kaushik Roy

* 14 pages, 4 figures in main and 4 figures in supplementary, 2 tables in main and 5 tables in supplementary 

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Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons


Jun 13, 2018
Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen


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ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks


Jun 08, 2018
Priyadarshini Panda, Jason M. Allred, Shriram Ramanathan, Kaushik Roy

* IEEE Journal on Emerging and Selected Topics in Circuits and Systems (Volume: 8, Issue: 1, March 2018) 
* 14 pages, 14 figures 

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Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning


May 23, 2018
Deboleena Roy, Priyadarshini Panda, Kaushik Roy

* 8 pages, 6 figures, 7 tables 

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