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David Wagner

REAP: A Large-Scale Realistic Adversarial Patch Benchmark

Dec 12, 2022
Nabeel Hingun, Chawin Sitawarin, Jerry Li, David Wagner

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* Code and benchmark can be found at https://github.com/wagner-group/reap-benchmark

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Part-Based Models Improve Adversarial Robustness

Sep 15, 2022
Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David Wagner

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* Code can be found at https://github.com/chawins/adv-part-model

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Model-Agnostic Defense for Lane Detection against Adversarial Attack

Mar 01, 2021
Henry Xu, An Ju, David Wagner

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* 6 pages, 6 figures, 3 tables. Part of AutoSec 2021 proceedings

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Minority Reports Defense: Defending Against Adversarial Patches

Apr 28, 2020
Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David Wagner

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* 9 pages, 5 figures

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Improving Adversarial Robustness Through Progressive Hardening

Mar 18, 2020
Chawin Sitawarin, Supriyo Chakraborty, David Wagner

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* Preprint. Under review

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