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Generating Adversarial Attacks in the Latent Space

Generating Adversarial Attacks in the Latent Space

10 April 2023
Nitish Shukla
Sudipta Banerjee
ArXivPDFHTML

Papers citing "Generating Adversarial Attacks in the Latent Space"

6 / 6 papers shown
Title
Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation
Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation
Zhiying Li
Guanggang Geng
Yeying Jin
Zhizhi Guo
Bruce Gu
Jidong Huo
Zhaoxin Fan
Wenjun Wu
AAML
17
0
0
17 May 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
Mingkun Zhang
Keping Bi
Wei Chen
Jiafeng Guo
Xueqi Cheng
BDL
VLM
56
1
0
25 Feb 2025
Unsupervised Model Diagnosis
Unsupervised Model Diagnosis
Yinong Wang
Eileen Li
Jinqi Luo
Zhaoning Wang
Fernando de la Torre
AAML
32
1
0
08 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural
  Reconstruction
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
33
0
0
04 Oct 2024
Latent Magic: An Investigation into Adversarial Examples Crafted in the
  Semantic Latent Space
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space
Bo Zheng
DiffM
17
1
0
22 May 2023
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
83
765
0
13 Nov 2018
1