A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning

15 October 2020

Papers citing "A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning"

10 / 10 papers shown

Title
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 141 0 0 30 Mar 2025
Natural Language Induced Adversarial Images Xiaopei Zhu Peiyang Xu Guanning Zeng Yingpeng Dong Xiaolin Hu AAML 28 0 0 11 Oct 2024
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 23 11 0 21 Jun 2023
Generalist: Decoupling Natural and Robust Generalization Hongjun Wang Yisen Wang OOD AAML 46 14 0 24 Mar 2023
Self-Ensemble Adversarial Training for Improved Robustness Hongjun Wang Yisen Wang OOD AAML 11 48 0 18 Mar 2022
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 14 12 0 21 Jul 2020
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 186 272 0 03 Dec 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012