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@wuxin1994
2017-11-04T15:31:36.000000Z
字数
129
阅读
153
吴帆1104
学习笔记17
整理攻击部分的文献引用,上传到裘老师建的谷歌云里面,继续前面的串联各个文献的工作。
周六去参加了“MIFS2017机器智能前沿论坛”。论坛的内容主要是一些老师和教授针对各自的研究领域和兴趣进行了主旨演讲,以及几个机器学习比赛的经验交流。
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
wufan@blog
1
Welcome!
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
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