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Robustness and Generalization via Generative Adversarial Training

Robustness and Generalization via Generative Adversarial Training

IEEE International Conference on Computer Vision (ICCV), 2021
6 September 2021
Omid Poursaeed
Tianxing Jiang
Harry Yang
Serge Belongie
SerNam Lim
    OODAAML
ArXiv (abs)PDFHTML

Papers citing "Robustness and Generalization via Generative Adversarial Training"

17 / 17 papers shown
TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
Susim Roy
Anubhooti Jain
Mayank Vatsa
Richa Singh
DiffMVLM
185
1
0
20 Aug 2025
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
Jiacheng Zhang
Benjamin I. P. Rubinstein
Jing Zhang
Yifan Zhang
364
0
0
04 Mar 2025
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
304
11
0
19 Oct 2024
Makeup-Guided Facial Privacy Protection via Untrained Neural Network
  Priors
Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
AAMLPICV
386
5
0
20 Aug 2024
Large Language Model Sentinel: LLM Agent for Adversarial Purification
Large Language Model Sentinel: LLM Agent for Adversarial Purification
Guang Lin
Qibin Zhao
Qibin Zhao
AAML
476
1
0
24 May 2024
Adversarial Guided Diffusion Models for Adversarial Purification
Adversarial Guided Diffusion Models for Adversarial PurificationNeural Networks (NN), 2024
Guang Lin
Zerui Tao
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
585
5
0
24 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Kushagra Pandey
Robert Bamler
Sina Daubener
...
Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
761
40
0
28 Feb 2024
Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems
Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems
Zhaowei Zhang
Fengshuo Bai
Mingzhi Wang
Haoyang Ye
Chengdong Ma
Yaodong Yang
421
6
0
20 Feb 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness
  and Generalization
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Guang Lin
Chao Li
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
367
22
0
29 Jan 2024
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via
  Adversarial Latent Search
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent SearchComputer Vision and Pattern Recognition (CVPR), 2023
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
AAMLPICV
431
48
0
16 Jun 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
Ekram Hossain
H. Vincent Poor
AAML
276
29
0
11 Mar 2023
Aliasing is a Driver of Adversarial Attacks
Aliasing is a Driver of Adversarial Attacks
Adrian Rodriguez-Munoz
Antonio Torralba
AAML
142
1
0
22 Dec 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal TuningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge Belongie
Sagie Benaim
AAML
222
1
0
17 Nov 2022
Benchmarking performance of object detection under image distortions in
  an uncontrolled environment
Benchmarking performance of object detection under image distortions in an uncontrolled environmentInternational Conference on Information Photonics (ICIP), 2022
Ayman Beghdadi
Malik Mallem
Lotfi Beji
182
8
0
28 Oct 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
Adversarial Unlearning: Reducing Confidence Along Adversarial DirectionsNeural Information Processing Systems (NeurIPS), 2022
Amrith Rajagopal Setlur
Benjamin Eysenbach
Virginia Smith
Sergey Levine
195
24
0
03 Jun 2022
Defending Black-box Skeleton-based Human Activity Classifiers
Defending Black-box Skeleton-based Human Activity ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2022
He Wang
Yunfeng Diao
Zichang Tan
G. Guo
AAML
392
13
0
09 Mar 2022
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
748
345
0
28 Sep 2021
1