Awesome list of DP resources
Published:
I am curating a list of resources for learning subjects related to differential privacy, federated learning and machine learning (subject to my preferences).
This list will be updated constantly. Stay tuned!
Blogs, articles
- Differential Privacy Org: Blogs on conference digests are helpful at getting some taste of recent research trends.
- A Tail of Two Densities: Covers differential privacy in a concise, mathematical and clean way. Part 2 is here.
- Ted is writing things
- Theory of Computing Blog Aggregator
Videos
Conferences (with videos)
- The Third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22)
- 2021 Google Federated Learning and Analytics Workshop
Lectures, tutorials
- Algorithms for Private Data Analysis: by Gautam Kamath. Covers various topics and video lectures can be found on Youtube.
- Privacy in Statistics and Machine Learning: by Adam Smith and Jonathan Ullman.
Other awesome lists
- A School for all Seasons on Trustworthy Machine Learning: a more comprehensive list than this one covering many aspects of trustworthy ML
- Awesome-Federated-Learning
- Machine Unlearning Papers