Google TechTalks

Google TechTalks

Differential PrivacyMachine LearningData PrivacyLarge Language Models (LLMs)Machine Learning SecurityData poisoningData SecurityPrompt Engineering
Evaluating Data Misuse in LLMs: Introducing Adversarial Compression Rate as a Metric of Memorization
Large Language Models (LLMs)Data MemorizationCopyright Infringement

Evaluating Data Misuse in LLMs: Introducing Adversarial Compression Rate as a Metric of Memorization

This presentation introduces Adversarial Compression Rate (ACR) as a robust metric to quantify LLM memorization, addressing copyright concerns by focusing on the shortest prompt needed to elicit exact verbatim output.

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How Much Do Language Models Memorize?
Language ModelsMemorizationGeneralization

How Much Do Language Models Memorize?

Meta researcher Jack Morris introduces a new metric for 'unintended memorization' in language models, revealing how model capacity, data rarity, and training data size influence generalization versus specific data retention.

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