Validity-Aware Jailbreak Evaluation for Large Language Models
cs.AI
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/Ardor-Wu/SEAV
Terminology
Sources
- How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
- JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring
- GLM-5: from Vibe Coding to Agentic Engineering
- How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference
- Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
- WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
- Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
- Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
- Kimi K2.5: Visual Agentic Intelligence
- Speech-Audio Compositional Attacks on Multimodal LLMs and Their Mitigation with SALMONN-Guard
- GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
- Universal and Transferable Adversarial Attacks on Aligned Language Models
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