Google TechTalks

Differential Privacy Machine Learning Data Privacy Large Language Models (LLMs)Machine Learning Security Data poisoning Data Security Prompt Engineering

Jan 27, 2026Large 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.

Explore Insights →

Want more on ai regulation?

Explore deep-dive summaries and actionable takeaways from the best minds across different podcasts discussing this topic.

View All Ai Regulation Episodes→

Don't see the episode you're looking for?

We're constantly adding new episodes, but if you want to see a specific one from Google TechTalks summarized, let us know!

Submit an Episode