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Evaluating Adversarial Attacks on ImageNet: A Reality Check on
  Misclassification Classes

Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes

22 November 2021
Utku Ozbulak
Maura Pintor
Arnout Van Messem
W. D. Neve
    AAML
ArXiv (abs)PDFHTML

Papers citing "Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes"

2 / 2 papers shown
Title
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Utku Ozbulak
Esla Timothy Anzaku
Solha Kang
W. D. Neve
J. Vankerschaver
136
0
0
28 Jan 2025
Exploring Misclassifications of Robust Neural Networks to Enhance
  Adversarial Attacks
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
Leo Schwinn
René Raab
A. Nguyen
Dario Zanca
Bjoern M. Eskofier
AAML
83
61
0
21 May 2021
1