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2206.06257
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Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
13 June 2022
Gaoyuan Zhang
Songtao Lu
Yihua Zhang
Xiangyi Chen
Pin-Yu Chen
Quanfu Fan
Lee Martie
L. Horesh
Min-Fong Hong
Sijia Liu
OOD
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Papers citing
"Distributed Adversarial Training to Robustify Deep Neural Networks at Scale"
11 / 11 papers shown
Title
On the Escaping Efficiency of Distributed Adversarial Training Algorithms
Ying Cao
Kun Yuan
Ali H. Sayed
AAML
93
0
0
14 Sep 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
Computer Vision and Pattern Recognition (CVPR), 2024
Hanhui Wang
Yihua Zhang
Ruizheng Bai
Yue Zhao
Sijia Liu
Zhuowen Tu
AAML
PICV
336
7
0
25 Nov 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
262
4
0
18 Mar 2024
Decentralized Adversarial Training over Graphs
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
AAML
508
3
0
23 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
Xinyu Lin
Sijia Liu
AAML
MLAU
246
1
0
13 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
International Conference on Learning Representations (ICLR), 2023
Yihua Zhang
Pranay Sharma
Parikshit Ram
Min-Fong Hong
Kush R. Varshney
Sijia Liu
177
14
0
04 Mar 2023
Multi-Agent Adversarial Training Using Diffusion Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
DiffM
219
4
0
03 Mar 2023
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
Neural Information Processing Systems (NeurIPS), 2022
Jianan Zhou
Jianing Zhu
Jingfeng Zhang
Tongliang Liu
Gang Niu
Bo Han
Masashi Sugiyama
AAML
120
10
0
01 Nov 2022
Federated Adversarial Learning: A Framework with Convergence Analysis
International Conference on Machine Learning (ICML), 2022
Xiaoxiao Li
Zhao Song
Jiaming Yang
FedML
275
30
0
07 Aug 2022
Holistic Adversarial Robustness of Deep Learning Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Pin-Yu Chen
Sijia Liu
AAML
329
22
0
15 Feb 2022
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Junyuan Hong
Haotao Wang
Zinan Lin
Jiayu Zhou
FedML
126
25
0
18 Jun 2021
1