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Stateful Defenses for Machine Learning Models Are Not Yet Secure Against
  Black-box Attacks

Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks

11 March 2023
Ryan Feng
Ashish Hooda
Neal Mangaokar
Kassem Fawaz
S. Jha
Atul Prakash
    AAML
ArXivPDFHTML

Papers citing "Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks"

3 / 3 papers shown
Title
The Adaptive Arms Race: Redefining Robustness in AI Security
The Adaptive Arms Race: Redefining Robustness in AI Security
Ilias Tsingenopoulos
Vera Rimmer
Davy Preuveneers
Fabio Pierazzi
Lorenzo Cavallaro
Wouter Joosen
AAML
54
0
0
20 Dec 2023
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
87
21
0
24 May 2022
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
9,997
0
01 Sep 2014
1