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Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients

Cryptography and Security 2019-05-21 v3 Machine Learning Machine Learning

Abstract

Deep neural networks are easily fooled high confidence predictions for adversarial samples

Keywords

Cite

@article{arxiv.1904.06186,
  title  = {Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients},
  author = {Yatie Xiao and Chi-Man Pun},
  journal= {arXiv preprint arXiv:1904.06186},
  year   = {2019}
}

Comments

8 pages, 7 figures. arXiv admin note: text overlap with arXiv:1902.01220 The formula in Algorithm 1 lacks important representations

R2 v1 2026-06-23T08:37:50.545Z