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Distributed Adversarial Training to Robustify Deep Neural Networks at
  Scale
v1v2 (latest)

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
ArXiv (abs)PDFHTMLGithub (1★)

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
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
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative EditingComputer Vision and Pattern Recognition (CVPR), 2024
Hanhui Wang
Yihua Zhang
Ruizheng Bai
Yue Zhao
Sijia Liu
Zhuowen Tu
AAMLPICV
336
7
0
25 Nov 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset SelectionIEEE 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
Decentralized Adversarial Training over GraphsIEEE 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?
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
AAMLMLAU
246
1
0
13 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
What Is Missing in IRM Training and Evaluation? Challenges and SolutionsInternational 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
Multi-Agent Adversarial Training Using Diffusion LearningIEEE 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
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative AttacksNeural 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
Federated Adversarial Learning: A Framework with Convergence AnalysisInternational 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
Holistic Adversarial Robustness of Deep Learning ModelsAAAI 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
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Junyuan Hong
Haotao Wang
Zinan Lin
Jiayu Zhou
FedML
126
25
0
18 Jun 2021
1