23 citations · 98 across the 32 of their papers we have counts for
4 papers · 1 filter
DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays
Abhishek Moitra, Priyadarshini Panda
Adversarial input detection has emerged as a prominent technique to harden Deep Neural Networks(DNNs) against adversarial attacks. Most prior works use neural network-based detecto…
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
With a growing need to enable intelligence in embedded devices in the Internet of Things (IoT) era, secure hardware implementation of Deep Neural Networks (DNNs) has become imperat…
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee +2
As neural networks gain widespread adoption in embedded devices, there is a need for model compression techniques to facilitate deployment in resource-constrained environments. Qua…
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks
Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda
Neural networks have achieved remarkable performance in computer vision, however they are vulnerable to adversarial examples. Adversarial examples are inputs that have been careful…