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Improving Transferability of Adversarial Examples via Bayesian Attacks

Improving Transferability of Adversarial Examples via Bayesian Attacks

21 July 2023
Qizhang Li
Yiwen Guo
Xiaochen Yang
W. Zuo
Hao Chen
    AAML
    BDL
ArXivPDFHTML

Papers citing "Improving Transferability of Adversarial Examples via Bayesian Attacks"

13 / 13 papers shown
Title
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
AAML
SILM
28
5
0
28 May 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary
  Knowledge
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge
L. Fenaux
Florian Kerschbaum
AAML
42
0
0
22 Feb 2024
An Intermediate-level Attack Framework on The Basis of Linear Regression
An Intermediate-level Attack Framework on The Basis of Linear Regression
Yiwen Guo
Qizhang Li
W. Zuo
Hao Chen
41
13
0
21 Mar 2022
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
192
257
0
10 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
274
2,603
0
04 May 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
80
193
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
234
677
0
19 Oct 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
273
3,110
0
04 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
297
36,371
0
25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 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
296
39,198
0
01 Sep 2014
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