Soften to Defend: Towards Adversarial Robustness via Self-Guided Label
Refinement

Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement

14 March 2024

Papers citing "Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement"

13 / 13 papers shown

Title
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 124 0 0 04 Jul 2024
Self-Improving Robust Preference Optimization Eugene Choi Arash Ahmadian Matthieu Geist Oilvier Pietquin M. G. Azar 47 9 0 03 Jun 2024
Understanding Robust Overfitting of Adversarial Training and Beyond Chaojian Yu Bo Han Li Shen Jun Yu Chen Gong Biwei Huang Tongliang Liu OOD 45 58 0 17 Jun 2022
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 61 24 0 07 Oct 2021
Does label smoothing mitigate label noise? Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 108 348 0 05 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 196 1,821 0 03 Mar 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 73 796 0 26 Feb 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Zitong Yang Yaodong Yu Chong You Jacob Steinhardt Yi-An Ma 53 183 0 26 Feb 2020
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 56 977 0 29 Nov 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 82 483 0 03 Jul 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 65 899 0 18 Feb 2019
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 495 27,231 0 02 Dec 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 185 14,831 1 21 Dec 2013