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Adversarial Purification with the Manifold Hypothesis
v1v2v3v4v5 (latest)

Adversarial Purification with the Manifold Hypothesis

AAAI Conference on Artificial Intelligence (AAAI), 2022
26 October 2022
Zhaoyuan Yang
Zhiwei Xu
Jing Zhang
Leonid Sigal
Peter Tu
    AAML
ArXiv (abs)PDFHTMLGithub

Papers citing "Adversarial Purification with the Manifold Hypothesis"

5 / 5 papers shown
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
843
0
0
20 Feb 2025
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset
V. Frants
S. Agaian
AAML
331
1
0
12 Feb 2025
Pre-trained Multiple Latent Variable Generative Models are good
  defenders against Adversarial Attacks
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Dario Serez
Marco Cristani
Alessio Del Bue
Vittorio Murino
Pietro Morerio
AAML
469
1
0
04 Dec 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in
  Vision-Language Models
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Lu Yu
Haiyang Zhang
Changsheng Xu
AAMLVLM
392
22
0
29 Oct 2024
Probabilistic and Semantic Descriptions of Image Manifolds and Their
  Applications
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications
Peter Tu
Zhaoyuan Yang
Leonid Sigal
Zhiwei Xu
Jing Zhang
Yiwei Fu
Dylan Campbell
Jaskirat Singh
Tianyu Wang
DiffM
625
2
0
06 Jul 2023
1
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