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Adaptive Verifiable Training Using Pairwise Class Similarity

Dec 14, 2020
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian Molloy

* Acceped at AAAI21 

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Can Attention Masks Improve Adversarial Robustness?

Dec 21, 2019
Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati

* Version presented at AAAI-20 workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS) 

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Transferable Adversarial Robustness using Adversarially Trained Autoencoders

Sep 12, 2019
Pratik Vaishnavi, Kevin Eykholt, Atul Prakash, Amir Rahmati


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Robust Classification using Robust Feature Augmentation

May 31, 2019
Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng


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Designing Adversarially Resilient Classifiers using Resilient Feature Engineering

Dec 17, 2018
Kevin Eykholt, Atul Prakash


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Physical Adversarial Examples for Object Detectors

Oct 05, 2018
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramer, Atul Prakash, Tadayoshi Kohno, Dawn Song

* This paper is the extended version of the USENIX WOOT 2018 version 

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Note on Attacking Object Detectors with Adversarial Stickers

Jul 23, 2018
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramer

* Short Note: The full version of this paper was accepted to USENIX WOOT 2018, and is available at arXiv:1807.07769 

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Robust Physical-World Attacks on Deep Learning Models

Apr 10, 2018
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song

* Accepted to CVPR 2018 

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