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DifAttack++: Query-Efficient Black-Box Adversarial Attack via
  Hierarchical Disentangled Feature Space in Cross-Domain

DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain

5 June 2024
Jun Liu
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
Zheng Li
ArXivPDFHTML

Papers citing "DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain"

9 / 9 papers shown
Title
$α$-TCVAE: On the relationship between Disentanglement and
  Diversity
ααα-TCVAE: On the relationship between Disentanglement and Diversity
Cristian Meo
Louis Mahon
Anirudh Goyal
Justin Dauwels
DRL
59
8
0
01 Nov 2024
Generating Robust Adversarial Examples against Online Social Networks
  (OSNs)
Generating Robust Adversarial Examples against Online Social Networks (OSNs)
Jun Liu
Jiantao Zhou
Haiwei Wu
Weiwei Sun
Jinyu Tian
AAML
16
5
0
19 Oct 2023
Recoverable Privacy-Preserving Image Classification through Noise-like
  Adversarial Examples
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
Jun Liu
Jiantao Zhou
Jinyu Tian
Weiwei Sun
PICV
27
6
0
19 Oct 2023
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
167
404
0
12 Oct 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
189
259
0
18 Apr 2021
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp
  Adversarial Attacks
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Wei-An Lin
Chun Pong Lau
Alexander Levine
Ramalingam Chellappa
S. Feizi
AAML
74
60
0
05 Sep 2020
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
186
272
0
03 Dec 2018
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
115
325
0
13 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,047
0
02 Dec 2016
1