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A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks

A Survey on Transferability of Adversarial Examples across Deep Neural Networks

26 October 2023
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
A. Ma
Yuan Xun
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip H. S. Torr
    AAML
ArXivPDFHTML

Papers citing "A Survey on Transferability of Adversarial Examples across Deep Neural Networks"

11 / 11 papers shown
Title
A Simple DropConnect Approach to Transfer-based Targeted Attack
A Simple DropConnect Approach to Transfer-based Targeted Attack
Tongrui Su
Qingbin Li
Shengyu Zhu
Wei Chen
Xueqi Cheng
AAML
64
0
0
24 Apr 2025
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
X. Li
26
0
0
13 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
20
1
0
09 Oct 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
54
1
0
21 Jun 2024
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
380
4,010
0
28 Jan 2022
Context-Aware Transfer Attacks for Object Detection
Context-Aware Transfer Attacks for Object Detection
Zikui Cai
Xinxin Xie
Shasha Li
Mingjun Yin
Chengyu Song
S. Krishnamurthy
A. Roy-Chowdhury
M. Salman Asif
AAML
27
28
0
06 Dec 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
59
146
0
31 Jan 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
207
668
0
19 Oct 2020
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
72
186
0
30 Nov 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1