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A Google TechTalk, presented by Reza Shokri, 2024-04-17 ABSTRACT: Federated Learning (FL) is a decentralized machine learning approach that addresses the limitations of traditional centralized ... Can someone tell whose data trained your AI model? Yes— AI Centre Seminar Series (Recorded April 2020) Prof. Emiliano De Cristofaro is Head of the Information Security Research Group ... SPEAKER Sumit Mukherjee (Microsoft) Yixi Xu (Microsoft) Anusua Trivedi (Microsoft) Nabajyoti Patowary (Microsoft) Juan Lavista ... Can we tell whether our data was used to train a machine learning model? In this video, I introduce the
For those releasing LLMs into the wild, the data it was trained on is their secret sauce. As an example, the data used to train ... In this lecture, we focus on privacy risks in machine learning models with emphasis on A Google TechTalk, 2026-01-21, presented by Skyler Hallinan ABSTRACT:
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Low Cost High Power Membership Inference Attacks
NDSS 2025 - A Method to Facilitate Membership Inference Attacks in Deep Learning Models
![[3B] How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models](https://ytimg.googleusercontent.com/vi/v7owmbTbEvw/mqdefault.jpg)
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Last Updated: May 22, 2026
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![[3B] How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models](https://i0.wp.com/ytimg.googleusercontent.com/vi/v7owmbTbEvw/mqdefault.jpg?resize=320,180)
![[6B] MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members](https://i0.wp.com/ytimg.googleusercontent.com/vi/WySbxZqEU08/mqdefault.jpg?resize=320,180)
![[1A] privGAN: Protecting GANs from membership inference attacks at low cost to utility](https://i0.wp.com/ytimg.googleusercontent.com/vi/r0LxVL6u-00/mqdefault.jpg?resize=320,180)
