24 citations · 44 across the 5 of their papers we have counts for
5 papers
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.…
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms
Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini +1
Given a Boolean formula in conjunctive normal form (CNF), the density of states counts the number of variable assignments that violate exactly clauses, for all values of…
Attribution-driven Causal Analysis for Detection of Adversarial Examples
Susmit Jha, Sunny Raj, Steven Lawrence Fernandes +5
Attribution methods have been developed to explain the decision of a machine learning model on a given input. We use the Integrated Gradient method for finding attributions to defi…
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents
Panagiota Kiourti, Kacper Wardega, Susmit Jha +1
Recent work has identified that classification models implemented as neural networks are vulnerable to data-poisoning and Trojan attacks at training time. In this work, we show tha…
Are There Good Mistakes? A Theoretical Analysis of CEGIS
Susmit Jha, Sanjit A. Seshia
Counterexample-guided inductive synthesis CEGIS is used to synthesize programs from a candidate space of programs. The technique is guaranteed to terminate and synthesize the corre…