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

Maura Pintor

Arnout Van Messem

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

5 / 5 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 59 0 0 28 Jan 2025
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings Firuz Juraev Mohammed Abuhamad Eric Chan-Tin George K. Thiruvathukal Tamer Abuhmed AAML 46 0 0 03 May 2024
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks Leo Schwinn René Raab A. Nguyen Dario Zanca Bjoern M. Eskofier AAML 24 60 0 21 May 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 368 5,859 0 08 Jul 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 490 15,682 0 02 Nov 2015