Copertina

Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Junke, Wang, Jianwei, Chen, Sishuo, He, Yizhang, Feng, Qingshuai, Yang, Zhengyi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs
di: Chen, Yunhao, et al.
Pubblicazione: (2025)

Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
di: Hong, Wenjing, et al.
Pubblicazione: (2026)

Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses
di: Shang, Zhengchun, et al.
Pubblicazione: (2025)

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking
di: Li, Jindong, et al.
Pubblicazione: (2026)

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks
di: Shen, Guobin, et al.
Pubblicazione: (2025)

Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak Attacking
di: Li, Yanzeng, et al.
Pubblicazione: (2025)

Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses
di: Zhong, Xingwei, et al.
Pubblicazione: (2025)

Enhancing Jailbreak Attacks on LLMs via Persona Prompts
di: Zhang, Zheng, et al.
Pubblicazione: (2025)

TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking
di: Zeng, Churui, et al.
Pubblicazione: (2026)

Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection
di: Zhou, Yuqi, et al.
Pubblicazione: (2024)

Understanding and Enhancing the Transferability of Jailbreaking Attacks
di: Lin, Runqi, et al.
Pubblicazione: (2025)

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
di: Qi, Senmao, et al.
Pubblicazione: (2025)

AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens
di: Lu, Lin, et al.
Pubblicazione: (2024)

PolyJailbreak: Cross-Modal Jailbreaking Attacks on Black-Box Multimodal LLMs
di: Wang, Xinkai, et al.
Pubblicazione: (2025)

Bleeding Pathways: Vanishing Discriminability in LLM Hidden States Fuels Jailbreak Attacks
di: Zhang, Yingjie, et al.
Pubblicazione: (2025)

JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift
di: Piet, Julien, et al.
Pubblicazione: (2025)

Beyond Surface-Level Patterns: An Essence-Driven Defense Framework Against Jailbreak Attacks in LLMs
di: Xiang, Shiyu, et al.
Pubblicazione: (2025)

Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models
di: Park, Junyoung, et al.
Pubblicazione: (2026)

Untargeted Jailbreak Attack
di: Huang, Xinzhe, et al.
Pubblicazione: (2025)

JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit
di: He, Zeqing, et al.
Pubblicazione: (2024)

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
di: Yin, Ziyi, et al.
Pubblicazione: (2025)

Black-Box Skill Stealing Attack from Proprietary LLM Agents: An Empirical Study
di: Wang, Zihan, et al.
Pubblicazione: (2026)

Sealing the Audit-Runtime Gap for LLM Skills
di: Shen, Tingda, et al.
Pubblicazione: (2026)

Mitigating Many-shot Jailbreak Attacks with One Single Demonstration
di: Chen, Kejia, et al.
Pubblicazione: (2026)

FlipAttack: Jailbreak LLMs via Flipping
di: Liu, Yue, et al.
Pubblicazione: (2024)

JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
di: Feng, Yingchaojie, et al.
Pubblicazione: (2024)

Voice Jailbreak Attacks Against GPT-4o
di: Shen, Xinyue, et al.
Pubblicazione: (2024)

A Causal Perspective for Enhancing Jailbreak Attack and Defense
di: Pan, Licheng, et al.
Pubblicazione: (2026)

Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
di: Wang, Jiongxiao, et al.
Pubblicazione: (2024)

StructuralSleight: Automated Jailbreak Attacks on Large Language Models Utilizing Uncommon Text-Organization Structures
di: Li, Bangxin, et al.
Pubblicazione: (2024)

RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
di: Chen, Xuan, et al.
Pubblicazione: (2024)

FlexLLM: Exploring LLM Customization for Moving Target Defense on Black-Box LLMs Against Jailbreak Attacks
di: Chen, Bocheng, et al.
Pubblicazione: (2024)

Bidirectional Intention Inference Enhances LLMs' Defense Against Multi-Turn Jailbreak Attacks
di: Tong, Haibo, et al.
Pubblicazione: (2025)

Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration
di: Tsmindashvili, Tatia, et al.
Pubblicazione: (2025)

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
di: Zeng, Yifan, et al.
Pubblicazione: (2024)

GraphAttack: Exploiting Representational Blindspots in LLM Safety Mechanisms
di: He, Sinan, et al.
Pubblicazione: (2025)

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring
di: Hossain, Ismail, et al.
Pubblicazione: (2026)

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
di: Xiong, Chen, et al.
Pubblicazione: (2024)

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem
di: Mao, Yanxu, et al.
Pubblicazione: (2025)

SQL Injection Jailbreak: A Structural Disaster of Large Language Models
di: Zhao, Jiawei, et al.
Pubblicazione: (2024)