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PuriDefense: Randomized Local Implicit Adversarial Purification for
  Defending Black-box Query-based Attacks

PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks

19 January 2024
Ping Guo
Zhiyuan Yang
Xi Lin
Qingchuan Zhao
Qingfu Zhang
    AAML
ArXivPDFHTML

Papers citing "PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks"

6 / 6 papers shown
Title
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box
  Score-Based Query Attacks
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen
Zhehao Huang
Qinghua Tao
Yingwen Wu
Cihang Xie
X. Huang
AAML
103
27
0
24 May 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
184
410
0
16 May 2022
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
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
122
197
0
24 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,813
0
08 Jul 2016
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