This page contains some information that is useful for research.
Technical Courses
- Cryptography (by Jonathan Katz)
- Cryptography I (by Dan Boneh)
- Matrix Analysis and Computations
- Statistics
- Numerical Optimization
- Analysis of Algorithms
- Information Theory
- Machine Learning
- Discrete Optimization
- Introduction to Mathematical Thinking
Books
- Differential Privacy: From Theory to Practice
- A Pragmatic Introduction to Secure Multi-Party Computation
- Introduction to Modern Cryptography (2nd edition)
- Deep Learning (by Ian Goodfellow)
- Machine Learning [机器学习] (by Zhihua Zhou)
- Number Theory for Computing (2nd Edition)
- Concrete Mathematics: A Foundation for Computer Science (2nd edition)
Scientific Writing
Reading Lists
[Crpto. Papers], [Sec. Paper Lists], [DL Backdoor List 1], [DL Backdoor List 2], [Adversarial Reading List], [Federated Learning Papers], [AI security], [LLM List a], [LLM List b], [LLM Watermark]