12 citations · 15 across the 3 of their papers we have counts for
3 papers
Protein Folding Neural Networks Are Not Robust
Sumit Kumar Jha, Arvind Ramanathan, Rickard Ewetz +2
Deep neural networks such as AlphaFold and RoseTTAFold predict remarkably accurate structures of proteins compared to other algorithmic approaches. It is known that biologically sm…
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Sumit Kumar Jha, Susmit Jha, Rickard Ewetz +4
Deep neural networks have been shown to be vulnerable to membership inference attacks wherein the attacker aims to detect whether specific input data were used to train the model.…
Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors
Baogang Zhang, Necati Uysal, Deliang Fan +1
Analog computing based on memristor technology is a promising solution to accelerating the inference phase of deep neural networks (DNNs). A fundamental problem is to map an arbitr…