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20092026
most citedOutput Range Analysis for Deep Neural Networks

75 citations · 280 across the 41 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.DM2019

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…

cs.LG2019★ 6 cited

On the Need for Topology-Aware Generative Models for Manifold-Based Defenses

Uyeong Jang, Susmit Jha, Somesh Jha

Machine-learning (ML) algorithms or models, especially deep neural networks (DNNs), have shown significant promise in several areas. However, researchers have recently demonstrated…

cs.LG2019★ 8 cited

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…

cs.CR2019★ 24 cited

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…

eess.SY2019

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems

Margaret P. Chapman, Jonathan Lacotte, Aviv Tamar +7

A classic reachability problem for safety of dynamic systems is to compute the set of initial states from which the state trajectory is guaranteed to stay inside a given constraint…