awesome - ppdm 
Resources for privacy-preserving data-mining.
Other Compilations
- awesome-ppml
- awesome-homomorphic-encryption
- awesome-multiparty-computation
- awesome-differential-privacy
Workshopw
- Theory and Practice of Multi-Party Computation Workshops
- Simons Data Privacy Program 2019
- Deep Learning & Security Workshop, IEEE 2019
- Workshop on Security in Machine Learning, NeurIPS 2018
- Privacy-preserving Machine Learning, NeurIPS 2018
- Deep Learning & Security Workshop, IEEE 2018
- Private Multi-party Machine Learning, NIPS 2016
- Workshop on Learning, Security and Privacy, ICML 2014
Courses
Videos
- AI Village 2018
- Goldwasser ON Crypto-ML
- CAMLIS Conference
- NeurIPS SecML 2018
- Hacking Deep Learning 2018
- Hacking Deep Learning 2019
- ML in Cybersec playlist
- IEEE Deep Learning & Security Workshop 2018
Blogs
Resources from Twitter
Books
- Interpretable ML book
- Algorithmic Foundations of DP (PDF)
- A Pragmatic Introduction to Secure Multi-Party Computation
Foundational Papers
- Revealing Information while Preserving Privacy
- Calibrating Noise to Sensitivity in Private Data Analysis