PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling

Avery Ma; Yangchen Pan; Amir-massoud Farahmand

2025 ICML ICML 2025

PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Avery Ma, Yangchen Pan, Amir-massoud Farahmand

Topics

Artificial Intelligence > Core AI > AI Safety Machine Learning > Learning Types > Adversarial Learning Artificial Intelligence > Core AI > Large Language Models

Keywords

adaptive sampling large language model jailbreaking many-shot negative demonstration positive affirmation

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