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Update syllabus.

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Justin Hsu 2018-06-03 20:20:59 -04:00
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@ -16,26 +16,27 @@ covered. Adversarial ML (what happens to ML algorithms in the
presence of adversaries?) will be also be discussed. List of some presence of adversaries?) will be also be discussed. List of some
topics that we will cover (obviously not complete) are given below. topics that we will cover (obviously not complete) are given below.
Software Security
- Secure information flow
- Finding vulnerabilities
- Defensive measures and mitigations
Differential Privacy Differential Privacy
- Basic mechanisms - Basic properties and examples
- Local Differential Privacy - Advanced mechanisms
- Local Differential Privacy
Cryptographic Techniques Cryptographic Techniques
- Zero-knowledge proofs - Zero-knowledge proofs
- Secure multi-party computation - Secure multi-party computation
- Verifiable computation - Verifiable computation
Language-based Security
- Secure information flow
- Differential privacy
- Symbolic cryptography
Adversarial Machine Learning Adversarial Machine Learning
- Training-time attacks - Training-time attacks
- Test-time attacks - Test-time attacks
- Model theft attacks - Model-theft attacks
Grading will be based on three components: Grading will be based on three components:
- Reading research papers and writing reviews - Reading research papers and writing reviews
- Homeworks - Homeworks
- Class project - Class project