Privacy-Preserving Machine Learning Courses and Certifications

IEEE

SecureML - A System for Scalable Privacy-Preserving Machine Learning

Explores scalable privacy-preserving machine learning techniques for linear regression, logistic regression, and neural networks using secure two-party computation, with efficient protocols and MPC-friendly alternatives to nonlinear functions.

• YouTube
• 19 minutes
• On-Demand
• Free Video

TheIACR

Privacy-Preserving Machine Learning Workshop 2023 - Contributed Talks Session II

Explore cutting-edge research in privacy-preserving machine learning through expert presentations at the PPML 2023 workshop, covering innovative techniques and applications in the field.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

TheIACR

Privacy-Preserving Machine Learning - Invited and Contributed Talks

Explore privacy-preserving machine learning with expert Mariana Raykova and contributed talks from PPML 2023, covering cutting-edge research and advancements in secure AI and data protection.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

TheIACR

Privacy-Preserving Machine Learning Workshop - Invited and Contributed Talks

Explore cutting-edge research in privacy-preserving machine learning with expert talks and contributions at PPML 2023, covering innovative techniques and advancements in the field.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

TheIACR

Privacy-Preserving Machine Learning: Challenges and Opportunities - Invited Talk

Explore privacy-preserving machine learning with Sewoong Oh's invited talk at PPML 2023, covering cutting-edge techniques and advancements in protecting data privacy during ML processes.

• YouTube
• 47 minutes
• On-Demand
• Free Video

IEEE

CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

Explore GPU-accelerated privacy-preserving machine learning techniques for enhanced performance and scalability in image classification and private training.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Privacy-Preserving Machine Learning

Explore strategic approaches to privacy-preserving machine learning, including federated learning, encryption, and differential privacy, with practical examples and risk considerations.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Privacy-Preserving Machine Learning: Strategies and Tools

Explore privacy-preserving machine learning tools and strategies through practical examples, considering risk, implementation complexity, and computational resources.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Databricks

Smart Vehicles, Secure Data - Recreating Vehicle Environments for Privacy-Preserving Machine Learning

Explore how Mercedes-Benz uses Trusted Execution Environments and Azure Confidential Computing to build privacy-preserving ML systems for connected vehicles in the cloud.

• YouTube
• 31 minutes
• On-Demand
• Free Video

USENIX

MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious Security with Dishonest Majority

Explore groundbreaking advances in privacy-preserving machine learning with MD-ML framework, offering enhanced security and efficiency for multi-party computation in neural network inference and training.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

ABY3 - A Mixed Protocol Framework for Machine Learning

Explore privacy-preserving machine learning with ABY3, a framework addressing data collection concerns through encrypted computations and secure multi-party protocols.

• YouTube
• 25 minutes
• On-Demand
• Free Video

TheIACR

Low-Communication Algorithms for Private Federated Data Analysis - Invited Talk

Low-communication algorithms for private federated data analysis, offering optimal accuracy guarantees while preserving privacy in distributed settings.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

TheIACR

Decentralized Data Science Made Easy

Explore decentralized data science techniques and applications in this comprehensive talk, focusing on simplifying complex concepts for practical implementation.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

TheIACR

Privacy Preserving Aggregate Statistics via Boolean Shares - Part 3

Privacy-preserving aggregate statistics using Boolean shares, enhancing the Prio system for improved data collection and analysis while maintaining user privacy.

• YouTube
• 23 minutes
• On-Demand
• Free Video

TheIACR

MicroFedML: Privacy Preserving Federated Learning for Small Weights

Privacy-preserving federated learning techniques for small weights, focusing on MicroFedML. Explores innovative approaches to enhance data privacy in machine learning collaborations.

• YouTube
• 23 minutes
• On-Demand
• Free Video