Revisiting and Advancing Fast Adversarial Training Through The Lens of
Bi-Level Optimization

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization

23 December 2021

Prashant Khanduri

Papers citing "Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization"

19 / 19 papers shown

Title
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network Ya Liu Kai Yang Yu Zhu Keying Yang Haibo Zhao 21 0 0 14 May 2025
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization Youran Dong Junfeng Yang Wei-Ting Yao Jin Zhang 177 0 0 04 May 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers Elad Sofer Tomer Shaked Caroline Chaux Nir Shlezinger AAML 45 0 0 26 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He Wei Wang Caifeng Shan Lei Wang AAML 127 0 0 21 Apr 2025
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 Zhuowen Tu AAML PICV 98 2 0 25 Nov 2024
Adversarial Watermarking for Face Recognition Yuguang Yao Anil K. Jain Sijia Liu AAML 37 0 0 24 Sep 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing Jiabao Ji Bairu Hou Zhen Zhang Guanhua Zhang Wenqi Fan Qing Li Yang Zhang Gaowen Liu Sijia Liu Shiyu Chang AAML 43 6 0 18 Apr 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 54 1 0 28 Feb 2024
A Single-Loop Algorithm for Decentralized Bilevel Optimization Youran Dong Shiqian Ma Junfeng Yang Chao Yin 39 7 0 15 Nov 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 34 16 0 19 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 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
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 26 16 0 08 Feb 2023
Advancing Model Pruning via Bi-level Optimization Yihua Zhang Yuguang Yao Parikshit Ram Pu Zhao Tianlong Chen Min-Fong Hong Yanzhi Wang Sijia Liu 49 68 0 08 Oct 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 30 119 0 21 Feb 2022
Black-box Adversarial Attacks in Autonomous Vehicle Technology K. N. Kumar Vishnu Chalavadi Reshmi Mitra C.Krishna Mohan AAML 23 70 0 15 Jan 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016