利用集成自适应梯度生成最小对抗扰动
密码学与安全
2019-05-21 v3 机器学习
机器学习
摘要
深度神经网络容易被对抗样本以高置信度预测所欺骗。
引用
@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}
}
备注
8 pages, 7 figures. arXiv admin note: text overlap with arXiv:1902.01220 The formula in Algorithm 1 lacks important representations