75 citations · 133 across the 6 of their papers we have counts for
7 papers
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars
Chun Tao, Deboleena Roy, Indranil Chakraborty +1
Applications based on Deep Neural Networks (DNNs) have grown exponentially in the past decade. To match their increasing computational needs, several Non-Volatile Memory (NVM) cros…
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks
Deboleena Roy, Indranil Chakraborty, Timur Ibrayev +1
The increasing computational demand of Deep Learning has propelled research in special-purpose inference accelerators based on emerging non-volatile memory (NVM) technologies. Such…
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence
Indranil Chakraborty, Deboleena Roy, Isha Garg +2
The `Internet of Things' has brought increased demand for AI-based edge computing in applications ranging from healthcare monitoring systems to autonomous vehicles. Quantization is…
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation
Deboleena Roy, Priyadarshini Panda, Kaushik Roy
Spiking neural networks (SNNs) offer a promising alternative to current artificial neural networks to enable low-power event-driven neuromorphic hardware. Spike-based neuromorphic…
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge
Indranil Chakraborty, Deboleena Roy, Aayush Ankit +1
The recent advent of `Internet of Things' (IOT) has increased the demand for enabling AI-based edge computing. This has necessitated the search for efficient implementations of neu…
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays
Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy +4
Deep neural networks are a biologically-inspired class of algorithms that have recently demonstrated state-of-the-art accuracies involving large-scale classification and recognitio…
Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars
Indranil Chakraborty, Deboleena Roy, Kaushik Roy
The advances in the field of machine learning using neuromorphic systems have paved the pathway for extensive research on possibilities of hardware implementations of neural networ…