Extracting Training Data from Large Language Models - Paper Explained

Extracting Training Data from Large Language Models - Paper Explained

Yannic Kilcher via YouTube Direct link

- Two-Step Method Overview

6 of 12

6 of 12

- Two-Step Method Overview

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Extracting Training Data from Large Language Models - Paper Explained

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  1. 1 - Intro & Overview
  2. 2 - Personal Data Example
  3. 3 - Eidetic Memorization & Language Models
  4. 4 - Adversary's Objective & Outlier Data
  5. 5 - Ethical Hedging
  6. 6 - Two-Step Method Overview
  7. 7 - Perplexity Baseline
  8. 8 - Improvement via Perplexity Ratios
  9. 9 - Weights for Patterns & Weights for Memorization
  10. 10 - Analysis of Main Results
  11. 11 - Mitigation Strategies
  12. 12 - Conclusion & Comments

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