Sitawarin, Chawin

11 publications

ICML 2024 OODRobustBench: A Benchmark and Large-Scale Analysis of Adversarial Robustness Under Distribution Shift Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling

ICLR 2024 PubDef: Defending Against Transfer Attacks from Public Models Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David Wagner

ICLR 2024 SPDER: Semiperiodic Damping-Enabled Object Representation Kathan Shah, Chawin Sitawarin

NeurIPSW 2024 Stronger Universal and Transfer Attacks by Suppressing Refusals David Huang, Avidan Shah, Alexandre Araujo, David Wagner, Chawin Sitawarin

ICLR 2023 Part-Based Models Improve Adversarial Robustness Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David Wagner

ICML 2023 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems Chawin Sitawarin, Florian Tramèr, Nicholas Carlini

ICCV 2023 REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun, Chawin Sitawarin, Jerry Li, David Wagner

ICML 2022 Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin, Zachary J Golan-Strieb, David Wagner

NeurIPSW 2022 Part-Based Models Improve Adversarial Robustness Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David Wagner

NeurIPSW 2022 REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun, Chawin Sitawarin, Jerry Li, David Wagner

NeurIPS 2021 Adversarial Examples for K-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams Chawin Sitawarin, Evgenios Kornaropoulos, Dawn Song, David Wagner