AI伦理/安全相关研究(教程)汇总：(via Andrew Trask)
★差分隐私：
《The Algorithmic Foundationsof Differential Privacy》http://t.cn/RnOq0mK
《Differential privacy for dummies》http://t.cn/EIqH3nj
《A Short Tutorial on Differential Privacy》http://t.cn/EIqH3nT
★安全多方计算：
《Cryptography and Machine Learning》http://t.cn/EIqH3nQ
★联邦学习(Federated Learning)：
《Federated Learning: Collaborative Machine Learning without Centralized Training Data》http://t.cn/EIqH3nl
《Deep Learning -> Federated Learning in 10 Lines of PyTorch + PySyft》http://t.cn/EIqH3nm
★AI安全：
《Building safe artificial intelligence: specification, robustness, and assurance》http://t.cn/EPHPN5G
《Concrete AI Safety Problems》http://t.cn/EIqH3n3
★AI公平：
《A new course to teach people about fairness in machine learning》https://www.blog.google/technology/ai/new-course-teach-people-about-fairness-machine-learning/
★AI核查：
Krishnamurthy (Dj) Dvijotham’s Page http://t.cn/EIqH3nn
《Machine Learning in Formal Verifica》http://t.cn/EIqH3n8
★对抗防御：
《Adversarial Examples: Attacks and Defenses forDeep Learning》http://t.cn/EIqH3nR