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Evading Black-box Classifiers Without Breaking Eggs

Evading Black-box Classifiers Without Breaking Eggs

5 June 2023
Edoardo Debenedetti
Nicholas Carlini
Florian Tramèr
    MLAU
    AAML
ArXivPDFHTML

Papers citing "Evading Black-box Classifiers Without Breaking Eggs"

5 / 5 papers shown
Title
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
121
0
0
21 Feb 2025
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
70
0
0
20 Dec 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake
  Detection
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Weijie Wang
Zhengyu Zhao
N. Sebe
Bruno Lepri
AAML
18
2
0
03 Sep 2023
Preprocessors Matter! Realistic Decision-Based Attacks on Machine
  Learning Systems
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin
Florian Tramèr
Nicholas Carlini
AAML
70
8
0
07 Oct 2022
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
218
0
24 Sep 2019
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