ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Xu, Chen, Yan, Ling, Kan, Zhu, Yichi, Zhang, Hengrun, Fan, Guisheng, Yu, Huiqun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Hybrid Knowledge-Grounded Framework for Safety and Traceability in Prescription Verification
por: Zhu, Yichi, et al.
Publicado: (2026)
por: Zhu, Yichi, et al.
Publicado: (2026)
SeDa: A Unified System for Dataset Discovery and Multi-Entity Augmented Semantic Exploration
por: Ling, Kan, et al.
Publicado: (2026)
por: Ling, Kan, et al.
Publicado: (2026)
ASTRA: Agentic Steerability and Risk Assessment Framework
por: Hazan, Itay, et al.
Publicado: (2025)
por: Hazan, Itay, et al.
Publicado: (2025)
LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMs
por: Jha, Piyush, et al.
Publicado: (2024)
por: Jha, Piyush, et al.
Publicado: (2024)
MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
por: Chen, Boyuan, et al.
Publicado: (2025)
por: Chen, Boyuan, et al.
Publicado: (2025)
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
por: Liu, Xiaogeng, et al.
Publicado: (2024)
por: Liu, Xiaogeng, et al.
Publicado: (2024)
ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants
por: Xu, Xiangzhe, et al.
Publicado: (2025)
por: Xu, Xiangzhe, et al.
Publicado: (2025)
TrojanPraise: Jailbreak LLMs via Benign Fine-Tuning
por: Xie, Zhixin, et al.
Publicado: (2026)
por: Xie, Zhixin, et al.
Publicado: (2026)
Injecting Universal Jailbreak Backdoors into LLMs in Minutes
por: Chen, Zhuowei, et al.
Publicado: (2025)
por: Chen, Zhuowei, et al.
Publicado: (2025)
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy
por: Jeong, Joonhyun, et al.
Publicado: (2025)
por: Jeong, Joonhyun, et al.
Publicado: (2025)
Beyond Surface-Level Patterns: An Essence-Driven Defense Framework Against Jailbreak Attacks in LLMs
por: Xiang, Shiyu, et al.
Publicado: (2025)
por: Xiang, Shiyu, et al.
Publicado: (2025)
PolyJailbreak: Cross-Modal Jailbreaking Attacks on Black-Box Multimodal LLMs
por: Wang, Xinkai, et al.
Publicado: (2025)
por: Wang, Xinkai, et al.
Publicado: (2025)
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models
por: Dong, Yingkai, et al.
Publicado: (2024)
por: Dong, Yingkai, et al.
Publicado: (2024)
Jailbreaking with Universal Multi-Prompts
por: Hsu, Yu-Ling, et al.
Publicado: (2025)
por: Hsu, Yu-Ling, et al.
Publicado: (2025)
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
por: Li, Xuan, et al.
Publicado: (2023)
por: Li, Xuan, et al.
Publicado: (2023)
AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models
por: Reddy, Aashray, et al.
Publicado: (2025)
por: Reddy, Aashray, et al.
Publicado: (2025)
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
por: Xu, Zhao, et al.
Publicado: (2024)
por: Xu, Zhao, et al.
Publicado: (2024)
JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
por: Chu, Junjie, et al.
Publicado: (2024)
por: Chu, Junjie, et al.
Publicado: (2024)
Model-Editing-Based Jailbreak against Safety-aligned Large Language Models
por: Li, Yuxi, et al.
Publicado: (2024)
por: Li, Yuxi, et al.
Publicado: (2024)
Sockpuppetting: Jailbreaking LLMs by Combining Prefilling with Optimization
por: Dotsinski, Asen, et al.
Publicado: (2026)
por: Dotsinski, Asen, et al.
Publicado: (2026)
VERA: Variational Inference Framework for Jailbreaking Large Language Models
por: Lochab, Anamika, et al.
Publicado: (2025)
por: Lochab, Anamika, et al.
Publicado: (2025)
Understanding and Enhancing the Transferability of Jailbreaking Attacks
por: Lin, Runqi, et al.
Publicado: (2025)
por: Lin, Runqi, et al.
Publicado: (2025)
Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
por: Liu, Fan, et al.
Publicado: (2024)
por: Liu, Fan, et al.
Publicado: (2024)
The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning
por: Liu, Mingrui, et al.
Publicado: (2025)
por: Liu, Mingrui, et al.
Publicado: (2025)
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
por: Chao, Patrick, et al.
Publicado: (2024)
por: Chao, Patrick, et al.
Publicado: (2024)
JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration Framework
por: Zhou, Yuxuan, et al.
Publicado: (2025)
por: Zhou, Yuxuan, et al.
Publicado: (2025)
Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
por: Deng, Gelei, et al.
Publicado: (2024)
por: Deng, Gelei, et al.
Publicado: (2024)
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
por: Chen, Wenyu, et al.
Publicado: (2026)
por: Chen, Wenyu, et al.
Publicado: (2026)
Adaptive Probe-based Steering for Robust LLM Jailbreaking
por: Chen, Junxi, et al.
Publicado: (2026)
por: Chen, Junxi, et al.
Publicado: (2026)
Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
por: Fu, Shaopeng, et al.
Publicado: (2025)
por: Fu, Shaopeng, et al.
Publicado: (2025)
When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions
por: Qi, Minfeng, et al.
Publicado: (2026)
por: Qi, Minfeng, et al.
Publicado: (2026)
MemHunter: Automated and Verifiable Memorization Detection at Dataset-scale in LLMs
por: Wu, Zhenpeng, et al.
Publicado: (2024)
por: Wu, Zhenpeng, et al.
Publicado: (2024)
Jailbreaking LLMs via Calibration
por: Lu, Yuxuan, et al.
Publicado: (2026)
por: Lu, Yuxuan, et al.
Publicado: (2026)
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
por: Andriushchenko, Maksym, et al.
Publicado: (2024)
por: Andriushchenko, Maksym, et al.
Publicado: (2024)
Jailbreaking LLMs Without Gradients or Priors: Effective and Transferable Attacks
por: Nurlanov, Zhakshylyk, et al.
Publicado: (2026)
por: Nurlanov, Zhakshylyk, et al.
Publicado: (2026)
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
por: Xiong, Chen, et al.
Publicado: (2024)
por: Xiong, Chen, et al.
Publicado: (2024)
T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models
por: Liang, Siyuan, et al.
Publicado: (2025)
por: Liang, Siyuan, et al.
Publicado: (2025)
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens
por: Lu, Lin, et al.
Publicado: (2024)
por: Lu, Lin, et al.
Publicado: (2024)
LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
por: Li, Ran, et al.
Publicado: (2025)
por: Li, Ran, et al.
Publicado: (2025)
RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
por: Chen, Xuan, et al.
Publicado: (2024)
por: Chen, Xuan, et al.
Publicado: (2024)
Ejemplares similares
-
A Hybrid Knowledge-Grounded Framework for Safety and Traceability in Prescription Verification
por: Zhu, Yichi, et al.
Publicado: (2026) -
SeDa: A Unified System for Dataset Discovery and Multi-Entity Augmented Semantic Exploration
por: Ling, Kan, et al.
Publicado: (2026) -
ASTRA: Agentic Steerability and Risk Assessment Framework
por: Hazan, Itay, et al.
Publicado: (2025) -
LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMs
por: Jha, Piyush, et al.
Publicado: (2024) -
MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
por: Chen, Boyuan, et al.
Publicado: (2025)