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Generating Adversarial Computer Programs using Optimized Obfuscations


Mar 18, 2021
Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly

* This work will be published at ICLR 2021 

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Fast Training of Provably Robust Neural Networks by SingleProp


Feb 01, 2021
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel

* Published at AAAI 2021 

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Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases


Jul 31, 2020
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang


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Proper Network Interpretability Helps Adversarial Robustness in Classification


Jun 26, 2020
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel

* 22 pages, 9 figures, Published at ICML 2020 

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A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning


Jun 21, 2020
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred Hero, Pramod K. Varshney

* IEEE Signal Processing Magazine 

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Adversarial T-shirt! Evading Person Detectors in A Physical World


Nov 27, 2019
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin


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Reflecting After Learning for Understanding


Oct 18, 2019
Lee Martie, Mohammad Arif Ul Alam, Gaoyuan Zhang, Ryan R. Anderson

* Presented at the Advances in Cognitive Systems conference (http://www.cogsys.org/conference/2019) and to be published in the Advances in Cognitive Systems journal (http://www.cogsys.org/journal

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Evading Real-Time Person Detectors by Adversarial T-shirt


Oct 18, 2019
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin


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Interpreting Adversarial Examples by Activation Promotion and Suppression


Apr 03, 2019
Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin


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