Image de couverture de livre

Merging Improves Self-Critique Against Jailbreak Attacks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Gallego, Victor
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
par: Liu, Fan, et autres
Publié: (2024)

JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
par: Chu, Junjie, et autres
Publié: (2024)

Defending Large Language Models Against Jailbreak Attacks via In-Decoding Safety-Awareness Probing
par: Zhao, Yinzhi, et autres
Publié: (2026)

Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement
par: Gallego, Víctor
Publié: (2025)

Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
par: Akbar-Tajari, Mohammad, et autres
Publié: (2025)

The Critique of Critique
par: Sun, Shichao, et autres
Publié: (2024)

Extrapolation Merging: Keep Improving With Extrapolation and Merging
par: Lin, Yiguan, et autres
Publié: (2025)

Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks
par: Noughabi, Havva Alizadeh, et autres
Publié: (2025)

Jailbreak Attacks and Defenses Against Large Language Models: A Survey
par: Yi, Sibo, et autres
Publié: (2024)

Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak Attacks
par: Zhao, Jiawei, et autres
Publié: (2024)

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
par: Zhou, Andy, et autres
Publié: (2024)

Defending LLMs against Jailbreaking Attacks via Backtranslation
par: Wang, Yihan, et autres
Publié: (2024)

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging
par: Chen, Zijun, et autres
Publié: (2025)

Efficient Safety Retrofitting Against Jailbreaking for LLMs
par: Garcia-Gasulla, Dario, et autres
Publié: (2025)

JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
par: Ran, Delong, et autres
Publié: (2024)

Jailbreaking to Jailbreak
par: Kritz, Jeremy, et autres
Publié: (2025)

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
par: Ouyang, Yang, et autres
Publié: (2025)

Beyond Output Critique: Self-Correction via Task Distillation
par: Rahmani, Hossein A., et autres
Publié: (2026)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
par: Tu, Shangqing, et autres
Publié: (2024)

Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs
par: Li, Xiaoxia, et autres
Publié: (2024)

Configurable Safety Tuning of Language Models with Synthetic Preference Data
par: Gallego, Victor
Publié: (2024)

Configurable Preference Tuning with Rubric-Guided Synthetic Data
par: Gallego, Víctor
Publié: (2025)

Discovering Agentic Safety Specifications from 1-Bit Danger Signals
par: Gallego, Víctor
Publié: (2026)

MetaSC: Test-Time Safety Specification Optimization for Language Models
par: Gallego, Víctor
Publié: (2025)

AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
par: Siska, Charlotte, et autres
Publié: (2025)

COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
par: Guo, Xingang, et autres
Publié: (2024)

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
par: Xu, Zhao, et autres
Publié: (2024)

Activation-Guided Local Editing for Jailbreaking Attacks
par: Wang, Jiecong, et autres
Publié: (2025)

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
par: Mu, Honglin, et autres
Publié: (2024)

Round Trip Translation Defence against Large Language Model Jailbreaking Attacks
par: Yung, Canaan, et autres
Publié: (2024)

ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
par: Jiang, Fengqing, et autres
Publié: (2024)

Process Supervision via Verbal Critique Improves Reasoning in Large Language Models
par: Chen, Hao-Yuan
Publié: (2026)

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
par: Gou, Zhibin, et autres
Publié: (2023)

Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles
par: Sun, Xiongtao, et autres
Publié: (2024)

Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
par: Zhou, Yue, et autres
Publié: (2024)

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
par: Zhou, Yuhang, et autres
Publié: (2025)

Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks
par: Chen, Kexin, et autres
Publié: (2024)

Distract Large Language Models for Automatic Jailbreak Attack
par: Xiao, Zeguan, et autres
Publié: (2024)

All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks
par: Takemoto, Kazuhiro
Publié: (2024)

Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
par: Xi, Zhiheng, et autres
Publié: (2025)