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Understanding the Robustness of Randomized Feature Defense Against
  Query-Based Adversarial Attacks

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks

1 October 2023
Quang H. Nguyen
Yingjie Lao
Tung Pham
Kok-Seng Wong
Khoa D. Doan
    AAML
    SILM
ArXivPDFHTML

Papers citing "Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks"

3 / 3 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
110
28
0
24 May 2022
On the Effectiveness of Small Input Noise for Defending Against
  Query-based Black-Box Attacks
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks
Junyoung Byun
Hyojun Go
Changick Kim
AAML
120
18
0
13 Jan 2021
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
1