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The Latest Advances in Privacy-Preserving NLP

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Cybersecurity Courses Machine Learning Courses Data Protection Courses Computational Linguistics Courses Differential Privacy Courses Homomorphic Encryption Courses

Course Description

Overview

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Explore the cutting-edge developments in privacy-preserving natural language processing in this 19-minute conference talk from the Toronto Machine Learning Series. Delve into recent advancements utilizing differential privacy, pseudonymization, and homomorphic encryption techniques. Gain insights from Patricia Thaine, Co-Founder and CEO of Private AI, as she shares her expertise in creating privacy tools for data protection compliance, cybersecurity threat mitigation, and maintaining customer trust. Learn about the intersection of applied cryptography and NLP, and discover how these innovations are shaping the future of secure and privacy-conscious language processing technologies.

Syllabus

The Latest Advances in Privacy Preserving NLP


Taught by

Toronto Machine Learning Series (TMLS)

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