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The Space of Adversarial Strategies


Sep 09, 2022
Ryan Sheatsley, Blaine Hoak, Eric Pauley, Patrick McDaniel

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* Accepted to the 32nd USENIX Security Symposium 

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Adversarial Plannning


May 01, 2022
Valentin Vie, Ryan Sheatsley, Sophia Beyda, Sushrut Shringarputale, Kevin Chan, Trent Jaeger, Patrick McDaniel

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A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting


Apr 04, 2022
Kyle Domico, Ryan Sheatsley, Yohan Beugin, Quinn Burke, Patrick McDaniel

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* Presented at ML-Helio 2022 

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Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations


Feb 21, 2022
Ryan Sheatsley, Matthew Durbin, Azaree Lintereur, Patrick McDaniel

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* Accepted to IEEE Sensors Journal 

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HoneyModels: Machine Learning Honeypots


Feb 21, 2022
Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler Shipp, Patrick McDaniel

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* Published in: MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM) 

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On the Robustness of Domain Constraints


May 18, 2021
Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick McDaniel

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Adversarial Examples in Constrained Domains


Nov 02, 2020
Ryan Sheatsley, Nicolas Papernot, Michael Weisman, Gunjan Verma, Patrick McDaniel

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* 17 pages, 5 figures 

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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library


Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

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* Technical report for https://github.com/tensorflow/cleverhans 

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Detection under Privileged Information


Mar 31, 2018
Z. Berkay Celik, Patrick McDaniel, Rauf Izmailov, Nicolas Papernot, Ryan Sheatsley, Raquel Alvarez, Ananthram Swami

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* A short version of this paper is accepted to ASIACCS 2018 

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