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@wuxin1994
2017-09-18T09:05:55.000000Z
字数
45
阅读
850
吴帆9.17
学习笔记17
周末在写关于各种构建对抗样本的算法原理的总结报告，今天应该能写完。
内容目录
GAN
6
《Generative Face Completion》论文笔记
《Triangle Generative Adversarial Networks》论文笔记
《Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN》
《Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN》
《DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data》论文笔记
《Conditional Generative Adversarial Nets》论文笔记
JAVA
3
zuul https解析
Java注解
数据库(3)-JDBC
Linux
3
Github不能访问、不能正常加载CSS的解决
搭建博客时候问题
VIM使用
PaperNotes
20
《Delving into adversarial attacks on deep policies》论文笔记
《NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles》论文笔记
《Standard detectors aren’t (currently) fooled by physical adversarial stop signs》论文笔记
《Towards Deep Learning Models Resistant to Adversarial Attacks》论文笔记
《Adversarial Attacks on Neural Network Policies》论文笔记
《Generative Face Completion》论文笔记
《EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples》论文笔记
《Triangle Generative Adversarial Networks》论文笔记
《Evasion attacks against machine learning at test time》论文笔记
《Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN》
《Efficient Defenses Against Adversarial Attacks》论文笔记
《Machine Learning as an Adversarial Service:Learning Black-Box Adversarial Examples》论文笔记
《Adversarial Perturbations Against Deep Neural Networks for Malware Classification》论文笔记
《Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples》论文笔记
《Universal adversarial perturbations》论文笔记
《Concrete Problems for Autonomous Vehicle Safety:Advantages of Bayesian Deep Learning》论文笔记
《Robust Physical-World Attacks on Machine Learning Models》论文笔记
综述类文章写作
《DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data》论文笔记
《Conditional Generative Adversarial Nets》论文笔记
Secure
22
《Delving into adversarial attacks on deep policies》论文笔记
《NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles》论文笔记
《Standard detectors aren’t (currently) fooled by physical adversarial stop signs》论文笔记
《深度学习框架中的魔鬼：探究人工智能系统中的安全问题》笔记
《Towards Deep Learning Models Resistant to Adversarial Attacks》论文笔记
The Explanation of Adversarial Examples
《Adversarial Attacks on Neural Network Policies》论文笔记
《EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples》论文笔记
《Evasion attacks against machine learning at test time》论文笔记
对抗攻击论文总结-正式版
《Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN》
《Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN》
《Efficient Defenses Against Adversarial Attacks》论文笔记
《Machine Learning as an Adversarial Service:Learning Black-Box Adversarial Examples》论文笔记
《Adversarial Perturbations Against Deep Neural Networks for Malware Classification》论文笔记
《Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples》论文笔记
《Universal adversarial perturbations》论文笔记
对抗攻击论文总结
《Concrete Problems for Autonomous Vehicle Safety:Advantages of Bayesian Deep Learning》论文笔记
《Robust Physical-World Attacks on Machine Learning Models》论文笔记
Adversarial Attacks 简介
《DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data》论文笔记
math
1
范数
python
3
import的用法
Excel小任务
json文档向量表示的任务笔记
学习笔记17
56
吴帆1230
吴帆1224
吴帆1220
吴帆1216
吴帆1214
吴帆1212
吴帆1210
吴帆1206
吴帆1204
吴帆1130
吴帆1126
吴帆
吴帆1120
吴帆1116
吴帆1114
吴帆1112
吴帆1110
吴帆1106
吴帆1104
吴帆1102
吴帆1031
吴帆1029
吴帆1027
吴帆1021
吴帆1019
吴帆1017
吴帆1016
吴帆1013
吴帆1011
吴帆1009
吴帆1005
吴帆0930
吴帆0925
吴帆0923
吴帆0921
吴帆0919
吴帆9.17
吴帆9.15
吴帆0913
吴帆0829
吴帆0822
吴帆0819
吴帆0815
吴帆0811
吴帆0808
吴帆0804
吴帆0801
吴帆0730
吴帆0716
吴帆0712
吴帆0710-进度总结
吴帆0708-项目开展
吴帆0706 - Adversarial Attacks
吴帆0704
吴帆0702
吴帆0608
学习笔记18
6
吴帆0209
吴帆0206
吴帆0131
吴帆0121
吴帆0106
吴帆0101
实验室项目
1
json文档向量表示的任务笔记
数据库
2
数据库(3)-JDBC
数据库-MySQL入门
金融杂谈
1
重新认识美联储
未分类
1
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