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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

13 January 2021
Junyoung Byun
Hyojun Go
Changick Kim
    AAML
ArXivPDFHTML

Papers citing "On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks"

6 / 6 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
145
0
0
21 Feb 2025
Counter-Samples: A Stateless Strategy to Neutralize Black Box
  Adversarial Attacks
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
Roey Bokobza
Yisroel Mirsky
AAML
38
0
0
14 Mar 2024
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
72
0
0
20 Dec 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
Muzammal Naseer
Salman Khan
Fatih Porikli
F. Khan
AAML
28
1
0
30 Dec 2022
Deepfake Text Detection: Limitations and Opportunities
Deepfake Text Detection: Limitations and Opportunities
Jiameng Pu
Zain Sarwar
Sifat Muhammad Abdullah
A. Rehman
Yoonjin Kim
P. Bhattacharya
M. Javed
Bimal Viswanath
AAML
24
54
0
17 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
124
219
0
24 Sep 2019
1