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Coverage-centric Coreset Selection for High Pruning Rates


Oct 28, 2022
Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash


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Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing


May 18, 2022
Ryan Feng, Somesh Jha, Atul Prakash


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Concept-based Explanations for Out-Of-Distribution Detectors


Mar 04, 2022
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash

* 19 pages, 9 figures 

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Towards Adversarially Robust Deepfake Detection: An Ensemble Approach


Feb 11, 2022
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash


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Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples


Jul 01, 2021
Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash

* ICML 2021 workshop on A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning 

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Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing


Dec 03, 2020
Ryan Feng, Wu-chi Feng, Atul Prakash


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Understanding and Diagnosing Vulnerability under Adversarial Attacks


Jul 17, 2020
Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash


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Towards Robustness against Unsuspicious Adversarial Examples


May 08, 2020
Liang Tong, Minzhe Guo, Atul Prakash, Yevgeniy Vorobeychik

* v1.0 

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MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation


May 06, 2020
Sanjay Kariyappa, Atul Prakash, Moinuddin Qureshi


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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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