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RobArch: Designing Robust Architectures against Adversarial Attacks


Jan 08, 2023
ShengYun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin

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Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models


Aug 22, 2022
Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang

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Synthetic Dataset Generation for Adversarial Machine Learning Research


Jul 21, 2022
Xiruo Liu, Shibani Singh, Cory Cornelius, Colin Busho, Mike Tan, Anindya Paul, Jason Martin

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* AdvML Frontiers 2022 

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Toward Few-step Adversarial Training from a Frequency Perspective


Oct 13, 2020
Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin

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* Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligence (2020) 
* 9 pages, 9 figures, SPAI'20, ACM ASIACCS 2020 

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Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA


Apr 18, 2019
Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau

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* Submitted as talk proposal to Dependable and Secure Machine Learning (DSML '19) 

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The Efficacy of SHIELD under Different Threat Models


Feb 01, 2019
Cory Cornelius

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ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector


Sep 03, 2018
Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau

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