2 papers
cs.CR2026
Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries
Prarabdh Shukla, Ritik, Suhas Rao +2
With a profusion of jailbreaks for LLMs now widely known, a growing concern is that non-expert malicious actors ("the average Jane") could elicit actionable responses to malicious…
cs.AI2025
Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm
Sarvesh Shashidhar, Ritik, Nachiketa Patil +2
Direct Preference Optimisation (DPO) has emerged as a powerful method for aligning Large Language Models (LLMs) with human preferences, offering a stable and efficient alternative…