Knowledge Base Regulation Tracker Standards & Frameworks OSS Directory AI Incident Database Research Paper Library Case Studies Society Articles News Jobs About Charter Sign inBecome a Member
Home/Research Paper Library/Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Established that cheap input filters stop optimisation-based suffixes, setting the baseline that later stealthy attacks such as AutoDAN were designed to evade.

perplexity filterparaphrasingbaseline defences

Contribute

Spot an error, or know a record we should add? Members can propose additions and submit corrections.