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Susmit Jha

Strategic CAD Labs, Intel

iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection


Jan 07, 2022
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

* Association for the Advancement of Artificial Intelligence (AAAI), 2022 

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Dual-Key Multimodal Backdoors for Visual Question Answering


Dec 14, 2021
Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha

* 22 pages, 11 figures, 12 tables 

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Trigger Hunting with a Topological Prior for Trojan Detection


Oct 15, 2021
Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen

* 16 pages, 9 figures 

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Protein Folding Neural Networks Are Not Robust


Sep 19, 2021
Sumit Kumar Jha, Arvind Ramanathan, Rickard Ewetz, Alvaro Velasquez, Susmit Jha

* 8 pages, 5 figures 

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Detecting OODs as datapoints with High Uncertainty


Aug 13, 2021
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee

* Presented at the ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning 

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Online Defense of Trojaned Models using Misattributions


Mar 29, 2021
Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha


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Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs


Mar 23, 2021
Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee


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Detecting Trojaned DNNs Using Counterfactual Attributions


Dec 03, 2020
Karan Sikka, Indranil Sur, Susmit Jha, Anirban Roy, Ajay Divakaran


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Learning Certified Control using Contraction Metric


Nov 25, 2020
Dawei Sun, Susmit Jha, Chuchu Fan

* Accepted to Conference on Robot Learning (CoRL) 2020 

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An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks


Sep 17, 2020
Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami

* 9 pages, 3 figures 

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Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms


Oct 29, 2019
Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini, Susmit Jha


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


Oct 08, 2019
Uyeong Jang, Susmit Jha, Somesh Jha


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On Need for Topology Awareness of Generative Models


Sep 11, 2019
Uyeong Jang, Susmit Jha, Somesh Jha


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Attribution-driven Causal Analysis for Detection of Adversarial Examples


Mar 14, 2019
Susmit Jha, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha, Somesh Jha, Gunjan Verma, Brian Jalaian, Ananthram Swami

* 11 pages, 6 figures 

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TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents


Mar 01, 2019
Panagiota Kiourti, Kacper Wardega, Susmit Jha, Wenchao Li


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Learning Task Specifications from Demonstrations


Oct 27, 2018
Marcell Vazquez-Chanlatte, Susmit Jha, Ashish Tiwari, Mark K. Ho, Sanjit A. Seshia

* NIPS 2018 

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Trusted Neural Networks for Safety-Constrained Autonomous Control


May 18, 2018
Shalini Ghosh, Amaury Mercier, Dheeraj Pichapati, Susmit Jha, Vinod Yegneswaran, Patrick Lincoln


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Output Range Analysis for Deep Neural Networks


Sep 26, 2017
Souradeep Dutta, Susmit Jha, Sriram Sanakaranarayanan, Ashish Tiwari


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A Theory of Formal Synthesis via Inductive Learning


May 21, 2016
Susmit Jha, Sanjit A. Seshia


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Are There Good Mistakes? A Theoretical Analysis of CEGIS


Jul 21, 2014
Susmit Jha, Sanjit A. Seshia

* EPTCS 157, 2014, pp. 84-99 
* In Proceedings SYNT 2014, arXiv:1407.4937 

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Statistical Analysis of Privacy and Anonymity Guarantees in Randomized Security Protocol Implementations


Jun 27, 2009
Susmit Jha


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