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Exploring Adversarial Robustness of Deep Metric Learning

Feb 14, 2021
Thomas Kobber Panum, Zi Wang, Pengyu Kan, Earlence Fernandes, Somesh Jha


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Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems

Dec 16, 2020
Yuzhe Ma, Jon Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu

* Accepted by AAAI21 

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Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect

Nov 30, 2020
Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes


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Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification

Feb 17, 2020
Ryan Feng, Jiefeng Chen, Nelson Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash


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Analyzing the Interpretability Robustness of Self-Explaining Models

May 27, 2019
Haizhong Zheng, Earlence Fernandes, 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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