YoVDO

Differential Privacy & Variants

Offered By: Simons Institute via YouTube

Tags

Differential Privacy Courses Data Science Courses Privacy Courses Machine Learning Models Courses Privacy-Preserving Machine Learning Courses Trustworthy Machine Learning Courses

Course Description

Overview

Explore the concept of differential privacy and its variants in this keynote address delivered by Ilya Mironov from Meta. Delve into information-theoretic methods for trustworthy machine learning as the speaker discusses the importance of privacy preservation in data analysis and machine learning applications. Gain insights into the latest developments and challenges in the field of differential privacy, and understand its implications for building secure and ethical AI systems.

Syllabus

KEYNOTE: Differential Privacy & Variants


Taught by

Simons Institute

Related Courses

Information-Theoretic Foundations of Generative Adversarial Models
Simons Institute via YouTube
Generalization Bounds for Neural Network Based Decoders
Simons Institute via YouTube
Optimal Neural Network Compressors and the Manifold Hypothesis
Simons Institute via YouTube
Improving Accuracy-Privacy Tradeoff via Model Reprogramming
Simons Institute via YouTube
Fundamental Trade-Offs in FL-FA - Sparsity - DP - Communication Constraints
Simons Institute via YouTube