Privacy-Preserving Technology Courses and Certifications

IEEE

Private Resource Allocators and Their Applications

Introduces private resource allocators to prevent allocation-based side-channel attacks in systems like anonymous messaging, with various constructions offering different privacy guarantees and trade-offs in efficiency.

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

USENIX

A New Model for International, Privacy-Preserving Data Science

Explore a groundbreaking approach to international data analysis using privacy-preserving technologies, enabling secure collaboration between statistical organizations without direct data access.

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

Alan Turing Institute

Privacy-Preserving Moderation of Illegal Online Content

Discover privacy-preserving techniques for moderating illegal online content while maintaining encryption, featuring expert insights on cryptographic approaches and UK Online Safety Act compliance.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Build EU GDPR data protection compliance from scratch

3443 ratings at Udemy

Preparation for IAPP certifications_FREE GDPR Templates & Documentation - Practical GDPR Blueprint

• Udemy
• 15 hours 27 minutes
• Self-Paced
• Paid Course

Career Certificate

Cyber Security: Essentials for AI

40 ratings at Coursera

Master AI-driven cyber defense, secure AI systems from threats, and implement robust data protection frameworks in this comprehensive specialization from Macquarie University.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Intro to Federated Learning

14 ratings at Coursera

Discover how to train AI models across distributed devices without sharing data using Flower framework, exploring privacy-preserving techniques and LLM fine-tuning methods.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Discover how to implement privacy-by-design, access controls, and compliance frameworks to secure AI systems against emerging threats and regulatory risks.

• Coursera
• 4 hours 5 minutes
• Self-Paced
• Paid Course

Coursera

AI Risk: Analyze, Evaluate, Register

Master systematic AI risk management through hands-on analysis, evaluation frameworks, and practical tools like SWIFT sessions and Jira to build comprehensive risk registers.

• Coursera
• 2 hours 37 minutes
• Self-Paced
• Paid Course

Practical Cybersecurity Fundamentals: Unit 5

Discover AI security fundamentals, threats like data poisoning and model inversion attacks, and secure development principles using the MITRE ATLAS framework for ethical AI protection.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

TensorFlow

Federated Learning - Machine Learning on Decentralized Data

1 rating

Explore federated learning for privacy-preserving machine learning on decentralized data. Learn about its implementation in Google products and simulation using TensorFlow Federated.

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

Conf42

Next-Gen PeT: The Future of Multi-Party Computation Software - Conf42 Python 2024

Explore next-generation multi-party computation software and its applications in security, privacy, and data analysis. Learn about secret sharing, operations, and real-world implementations.

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

Simons Institute

Efficient Zero-Knowledge Proofs: A Modular Approach

Explore modular techniques for creating efficient zero-knowledge proofs, focusing on probabilistically checkable and interactive proof systems in cryptography.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

USENIX

Shining Light on Internet-based Crimes Against Children

Explores Internet-based child exploitation crimes, their long-term impact on victims, and forensic tools for proactive rescue. Discusses privacy technology's role in both protection and potential misuse.

• YouTube
• 54 minutes
• Self-Paced
• Conference Talk

USENIX

BatchCrypt - Efficient Homomorphic Encryption for Cross-Silo Federated Learning

Efficient homomorphic encryption system for cross-silo federated learning, reducing encryption and communication overhead while maintaining privacy and accuracy in collaborative machine learning.

• YouTube
• 23 minutes
• Self-Paced
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

How to Allow Deep Learning on Your Data Without Revealing Your Data

Exploring secure deep learning on private data without revealing it, discussing InstaHide and TextHide methods, their applications in Federated Learning, and addressing potential security concerns.

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