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2018年5月31日推荐

AI Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets

AI

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets

https://uber.github.io/kepler.gl

Learning Topic Models – Provably and Efficiently

https://cacm.acm.org/magazines/2018/4/226373-learning-topic-models-provably-and-efficiently/fulltext

智能金融系统的构建

https://zhuanlan.zhihu.com/p/37530092

安全 

iOS jailbreak internals (1): Remount rootfs after iOS 11.3

https://weibo.com/ttarticle/p/show?id=2309404245794218721506

浅谈安全日志分析系统建设

https://security.ele.me/blog-detail.html?id=138

安全测试

性能测试进阶(Part1-基本概念)

http://blog.nsfocus.net/test-1/

性能测试进阶(Part2-新建测试的方法)

http://blog.nsfocus.net/test-2/

性能测试进阶(Part3-并发测试的方法1)

http://blog.nsfocus.net/test-3/

性能测试进阶(Part4-并发测试的方法2

http://blog.nsfocus.net/test-4/

性能测试进阶(Part5-并发测试的方法3)

http://blog.nsfocus.net/test-5/

AI安全

当 AI 学会“山寨”,连美国国防部都坐不住了

https://mp.weixin.qq.com/s/AYcgHX-yUAJ0csOB9xjtMQ

对抗样本的基本原理

https://mp.weixin.qq.com/s?__biz=MzIwOTc0MDU3NA==&mid=2247484538&idx=1&sn=973507bfdf3458cb0546d303231ccdef

对抗样本的基本原理