A PAC-Bayes Analysis of Adversarial Robustness

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A PAC-Bayes Analysis of Adversarial Robustness

19 February 2021

Guillaume Vidot

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Papers citing "A PAC-Bayes Analysis of Adversarial Robustness"

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Title
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds Mehdi Hennequin Abdelkrim Zitouni K. Benabdeslem H. Elghazel Yacine Gaci 92 0 0 09 Nov 2024
Tightening the Evaluation of PAC Bounds Using Formal Verification Results Thomas Walker A. Lomuscio 58 0 0 29 Jul 2024
On the Computability of Robust PAC Learning Pascale Gourdeau Tosca Lechner Ruth Urner 115 3 0 14 Jun 2024
Tighter Generalisation Bounds via Interpolation Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 81 3 0 07 Feb 2024
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 74 7 0 09 Oct 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 123 328 0 14 Apr 2023
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory Jin-Lin Tang B. Tao Zeyu Gong Zhoupin Yin AI4CE 61 1 0 30 Nov 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 77 6 0 22 Nov 2022
When are Local Queries Useful for Robust Learning? Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell OOD 86 1 0 12 Oct 2022