📔 Differentially Private Learning

📌 Logistics: These are self prepared notes required for my research on Differential Privacy.

• Lec-1: Introduction to Differential Privacy (DP).
• Lec-2: Randomized response and Laplace mechanism.
• Lec-3: Exponential mechanism
• Lec-4: Gaussian mechanism
• Lec-5: Post-processing and Composition Theorems
• Lec-6: Advanced Composition Theorems - coming soon
• Lec-7: Sparse vector techniques and Subsample-Aggregate - coming soon
• Lec-8: Lower Bounds for DP - coming soon
• Lec-9: PAC Learning - coming soon
• Lec-10: Radamacher Compelxity - coming soon
• Lec-11: VC Dimension - coming soon
• Lec-12: ERM & SRM - coming soon
• Lec-13: Private PAC Learning - coming soon
• Lec-14: Online Learning with DP - coming soon
• Lec-15: DP-ERM
• Lec-16: DP-SGD
• Lec-17: Reconstruction Attacks and Query release.
• Lec-18: Interval Queries & Binary-Tree mechanisms
• Lec-19: Factorization Mechanism
• Lec-20: Projection mechanism
• Lec-21: Two Player Zero Sum Games
• Lec-22: Zero Sum Games: Application to Query release
• Lec-23: Online learning for Query release
• Lec-24: DP under continual observation - coming soon