Google TechTalks Courses

Privacy-Preserving Machine Learning with Fully Homomorphic Encryption

Explore Fully Homomorphic Encryption for privacy-preserving machine learning, enabling zero-trust interactions and secure model deployment on untrusted servers.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Example Memorization in Learning: Batch and Streaming - Differential Privacy for ML

Explore example memorization in machine learning, covering batch and streaming scenarios, space requirements, and implications for natural models and future research directions.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

The Saddle Point Accountant for Differential Privacy in Machine Learning

Explore differential privacy's saddle point accountant method, its composition, and applications in machine learning through expert insights.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Differentially Private Multi-party Data Release for Linear Regression

Explore differential privacy techniques for secure multi-party data sharing in linear regression, enhancing privacy protection in collaborative machine learning environments.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Machine Unlearning and Privacy Implications - Differential Privacy for ML

Explore privacy implications of machine unlearning, including threat models, deletion inference, and experimental results in this Google TechTalk on differential privacy for ML.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Mapping from Training Data to Predictions with Datamodels - Differential Privacy in Machine Learning

Explore datamodels in machine learning, from training data to predictions. Learn about model brittleness, data counterfactuals, and applications in ML pipelines.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Marginal-based Methods for Differentially Private Synthetic Data - Differential Privacy for ML Series

Explore marginal-based methods for generating differentially private synthetic data, covering mechanisms, selection algorithms, and empirical findings.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Secure Self-supervised Learning: Challenges and Solutions

Explore secure self-supervised learning techniques, focusing on backdoor attacks, data auditing, and membership inference for pre-trained encoders in machine learning.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Control, Confidentiality, and the Right to be Forgotten in Differential Privacy for Machine Learning

Explore data deletion, confidentiality, and control in machine learning, focusing on differential privacy and its implications for user rights and model retraining.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Analog vs. Digital Epsilons: Implementation Considerations for Differential Privacy

Explore implementation considerations for differential privacy, focusing on analog vs. digital epsilons in machine learning applications.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Private Convex Optimization via Exponential Mechanism - Differential Privacy for Machine Learning

Explore private convex optimization using the exponential mechanism. Learn differential privacy, noisy SGD, and isoperimetric inequality for ML applications.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Privacy-Aware Compression for Federated Learning

Explore privacy-aware compression techniques for federated learning, addressing challenges and implementing local differential privacy mechanisms to enhance data protection in collaborative AI.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Federated Learning with Formal User-Level Differential Privacy Guarantees

Explore federated learning with user-level differential privacy guarantees. Discover scalable algorithms for industrial workloads in data privacy and machine learning.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Heterogeneity-Aware Algorithms for Federated Optimization

Explore heterogeneity-aware algorithms for federated optimization, addressing data, communication, and computational challenges in distributed learning environments.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Federated Learning and Analytics at Google - Workshop Introduction

Explore federated learning and analytics at Google, focusing on privacy principles, data minimization, and innovative techniques for decentralized machine learning.

• YouTube
• 31 minutes
• Self-Paced
• Free Video