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Low Cost High Power Membership Inference Attacks

Google TechTalks via YouTube

Overview

Explore a Google TechTalk on membership inference attacks (MIA) in machine learning, presented by Reza Shokri. Delve into the innovative RMIA algorithm, designed for efficient and robust detection of training data usage in ML models. Learn how this novel approach outperforms existing methods in accuracy and computational efficiency, even under limited resources. Discover the importance of stress testing MIA techniques for practical privacy risk assessment. Gain insights into the groundbreaking potential of RMIA for reliable data privacy analysis in machine learning applications.

Syllabus

Low Cost High Power Membership Inference Attacks

Taught by

Google TechTalks

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