目录 概 主要内容 Differential Privacy insensitivity Lemma1 Proposition1 如何令网络为-DP in practice Lecuyer M, Atlidakis V, Geambasu R, et al. Certified Robustness to Adversarial Examples with Differential Privacy[C]. ieee symposium on security and privacy, 2019:…
对文本对抗性样本的研究极少,近期论文归纳如下: 文本对抗三个难点: text data是离散数据,multimedia data是连续数据,样本空间不一样: 对text data的改动可能导致数据不合法: 基于word的改动(替换.增.删)会有语义兼容性的问题: 论文: Deep Text Classification Can be Fooled 和 Towards Crafting Text Adversarial Samples: 针对文本分类生成对抗样本——对输入文本进行增删改处理,使得文…
目录 概 主要内容 Huster T., Chiang C. J. and Chadha R. Limitations of the lipschitz constant as a defense against adversarial examples. In European Conference on Machine Learning and Data Mining (ECML PKDD), 2018. 概 本文是想说明现有的依赖Lipschitz常数的以获得可验证的鲁棒性存在很大局限性.…
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples 目录 概 主要内容 实验设置 损失的影响 额外的数据 网络结构 其他的一些tricks Gowal S., Qin C., Uesato J., Mann T. & Kohli P. Uncovering the Limits of Adversarial Training against Norm-Bounded Adv…
目录 概 主要内容 least likely class adv. 实验1 l.l.c. adv.的效用 实验二 Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, ADVERSARIAL EXAMPLES IN THE PHYSICAL WORLD 概 有很多种方法能够生成对抗样本(adversarial samples), 但是真实世界中是否存在这样的对抗样本呢? 主要内容 least likely class adv. 假设\(X\)为图像(各元…
Xie C, Tan M, Gong B, et al. Adversarial Examples Improve Image Recognition.[J]. arXiv: Computer Vision and Pattern Recognition, 2019. @article{xie2019adversarial, title={Adversarial Examples Improve Image Recognition.}, author={Xie, Cihang and Tan,…
目录 概 主要内容 定理1 代码 Cohen J., Rosenfeld E., Kolter J. Certified Adversarial Robustness via Randomized Smoothing. International Conference on Machine Learning (ICML), 2019. @article{cohen2019certified, title={Certified Adversarial Robustness via Randomiz…
本文来自<towards principled methods for training generative adversarial networks>,时间线为2017年1月,第一作者为WGAN的作者,Martin Arjovsky. 下面引用自令人拍案叫绝的Wasserstein GAN 要知道自从2014年Ian Goodfellow提出以来,GAN就存在着训练困难.生成器和判别器的loss无法指示训练进程.生成样本缺乏多样性等问题.从那时起,很多论文都在尝试解决,但是效果不尽人意,比…
来源:https://github.com/zhangqianhui/AdversarialNetsPapers AdversarialNetsPapers The classical Papers about adversarial nets The First paper ✅ [Generative Adversarial Nets] [Paper] [Code](the first paper about it) Unclassified ✅ [Deep Generative Image…
