Distributed Adversarial Training to Robustify Deep Neural Networks at
Scale

Distributed Adversarial Training to Robustify Deep Neural Networks at Scale

13 June 2022

Papers citing "Distributed Adversarial Training to Robustify Deep Neural Networks at Scale"

15 / 15 papers shown

Title
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing Hanhui Wang Yihua Zhang Ruizheng Bai Yue Zhao Sijia Liu Z. Tu AAML PICV 98 2 0 25 Nov 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection Mohammad Jafari Yimeng Zhang Yihua Zhang Sijia Liu 41 2 0 18 Mar 2024
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 40 1 0 23 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions Yihua Zhang Pranay Sharma Parikshit Ram Min-Fong Hong Kush R. Varshney Sijia Liu 34 11 0 04 Mar 2023
Multi-Agent Adversarial Training Using Diffusion Learning Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed DiffM 37 4 0 03 Mar 2023
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks Jianan Zhou Jianing Zhu Jingfeng Zhang Tongliang Liu Gang Niu Bo Han Masashi Sugiyama AAML 11 9 0 01 Nov 2022
Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li Zhao-quan Song Jiaming Yang FedML 27 19 0 07 Aug 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 47 16 0 15 Feb 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 194 345 0 15 Dec 2021
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning Junyuan Hong Haotao Wang Zhangyang Wang Jiayu Zhou FedML 26 16 0 18 Jun 2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training Chia-Yu Chen Jiamin Ni Songtao Lu Xiaodong Cui Pin-Yu Chen ... Naigang Wang Swagath Venkataramani Vijayalakshmi Srinivasan Wei Zhang K. Gopalakrishnan 27 18 0 21 Apr 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 231 677 0 19 Oct 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 296 2,890 0 15 Sep 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016