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Low Cost High Power Membership Inference Attacks
Google TechTalks
May 20, 2024
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The Data Minimization Principle in Machine Learning
A Unified Analysis of Label Inference Attacks
Challenges in Augmenting Large Language Models with Private Data
SaTML 2023 - Gautam Kamath - An Introduction to Differential Privacy
Emmanuel Candès: Statistical methods for assessing the factual accuracy of large language models
Oblivious RAM: From Theory to Large-scale Real-world Deployment
Privacy Preserving ML with Fully Homomorphic Encryption
Algorithms and Hardness for Attention and Kernel Density Estimation
The Grandfather Of Generative Models
Why Does Diffusion Work Better than Auto-Regression?
The Story of Shor's Algorithm, Straight From the Source | Peter Shor
How I would learn data science fast?
Visualizing Mixed Models with Flexplot
Terence Tao at IMO 2024: AI and Mathematics
AI, Machine Learning, Deep Learning and Generative AI Explained
Fixed and random effects with Tom Reader
The Chinese Computer: A Global History of the Information Age
Is it possible to make self-adjusting data structures concurrent?
What we see and what we value: AI with a human perspective—Fei-Fei Li (Stanford University)
Attention is all you need (Transformer) - Model explanation (including math), Inference and Training