Publications

Blaine Hoak, Ryan Sheatsley, Patrick McDaniel (2025). Err on the Side of Texture: Texture Bias on Real Data. Accepted to IEEE Secure and Trustworthy Machine Learning (SaTML) 2025.

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Blaine Hoak, Patrick McDaniel (2024). On Synthetic Texture Datasets: Challenges, Creation, and Curation. In submission.

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Hadi Abdullah, Blaine Hoak, Ke Wang, Yizhen Wang, Sunpreet Arora, Yiwei Cai (2024). Is Memorization Actually Necessary for Generalization?. In submission.

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Blaine Hoak, Patrick McDaniel (2024). Explorations in Texture Learning. 12th International Conference on Learning Representations, Tiny Papers Track (ICLR).

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Blaine Hoak, Ryan Sheatsley, Eric Pauley, Patrick McDaniel (2023). The Space of Adversarial Strategies. 32nd USENIX Security Symposium 2023.

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Eric Pauley, Ryan Sheatsley, Blaine Hoak, Quinn Burke, Yohan Beugin, Patrick McDaniel (2022). Measuring and Mitigating the Risk of IP Reuse on Public Clouds. IEEE Symposium on Security and Privacy (IEEE S&P).

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Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick McDaniel (2022). Building a Privacy-Preserving Smart Camera System. Proceedings on Privacy Enhancing Technologies (PETS).

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Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick McDaniel (2021). On the Robustness of Domain Constraints. Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS).

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