Understanding Adversarial Training with Energy-based Models

28 May 2025

Mujtaba Hussain Mirza

Maria Rosaria Briglia

Papers citing "Understanding Adversarial Training with Energy-based Models"

22 / 22 papers shown

Title
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 33 4 0 08 Jul 2024
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs Sheng-Hsuan Peng Weilin Xu Cory Cornelius Matthew Hull Kevin Wenliang Li Rahul Duggal Mansi Phute Jason Martin Duen Horng Chau AAML 31 48 0 30 Aug 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 37 2 0 08 Apr 2023
M-EBM: Towards Understanding the Manifolds of Energy-Based Models Xiulong Yang Shihao Ji 43 4 0 08 Mar 2023
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier Mozhdeh Rouhsedaghat Masoud Monajatipoor C.-C. Jay Kuo I. Masi 45 7 0 23 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models Xiulong Yang Qing Su Shihao Ji VLM 27 13 0 16 Sep 2022
Understanding Robust Overfitting of Adversarial Training and Beyond Chaojian Yu Bo Han Li Shen Jun Yu Chen Gong Biwei Huang Tongliang Liu OOD 36 58 0 17 Jun 2022
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 74 59 0 24 Nov 2021
JEM++: Improved Techniques for Training JEM Xiulong Yang Shihao Ji AAML VLM 31 30 0 19 Sep 2021
Inverting Adversarially Robust Networks for Image Synthesis Renan A. Rojas-Gomez Raymond A. Yeh Minh Do A. Nguyen 18 5 0 13 Jun 2021
Exploring Memorization in Adversarial Training Yinpeng Dong Ke Xu Xiao Yang Tianyu Pang Zhijie Deng Hang Su Jun Zhu TDI 33 72 0 03 Jun 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs Soheil Feizi AAML 45 46 0 15 Feb 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 254 689 0 19 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 178 17,550 0 19 Jun 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 167 1,821 0 03 Mar 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 56 794 0 26 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 50 536 0 06 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 43 977 0 29 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 106 3,803 0 12 Jul 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 72 752 0 31 May 2019
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 273 8,999 0 10 Jun 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 61 14,831 1 21 Dec 2013