Copertina

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liang, Buyun, Chan, Kwan Ho Ryan, Thaker, Darshan, Luo, Jinqi, Vidal, René
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Artificial Intelligence Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
di: Liang, Buyun, et al.
Pubblicazione: (2025)

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
di: Liang, Buyun, et al.
Pubblicazione: (2026)

What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks
di: Kirch, Nathalie, et al.
Pubblicazione: (2024)

Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning
di: Ostermann, Simon, et al.
Pubblicazione: (2024)

Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs
di: Li, Xiang, et al.
Pubblicazione: (2025)

Attention Slipping: A Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMs
di: Hu, Xiaomeng, et al.
Pubblicazione: (2025)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
di: Tu, Shangqing, et al.
Pubblicazione: (2024)

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
di: Yang, Yan, et al.
Pubblicazione: (2024)

No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents
di: Yang, Tiankai, et al.
Pubblicazione: (2026)

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
di: Zhao, Shuai, et al.
Pubblicazione: (2024)

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs
di: Li, Linbao, et al.
Pubblicazione: (2025)

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
di: Xu, Zhao, et al.
Pubblicazione: (2024)

Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation
di: Schwartz, Daniel, et al.
Pubblicazione: (2025)

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
di: Liu, Fan, et al.
Pubblicazione: (2024)

Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts
di: Zhang, Chiyu, et al.
Pubblicazione: (2025)

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

Jailbreaking with Universal Multi-Prompts
di: Hsu, Yu-Ling, et al.
Pubblicazione: (2025)

LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings
di: Li, Ting, et al.
Pubblicazione: (2025)

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
di: Li, Xirui, et al.
Pubblicazione: (2024)

Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
di: Akbar-Tajari, Mohammad, et al.
Pubblicazione: (2025)

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs
di: Pu, Rui, et al.
Pubblicazione: (2024)

bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs
di: Ji, Wence, et al.
Pubblicazione: (2025)

Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia
di: Shen, Guangyu, et al.
Pubblicazione: (2024)

JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
di: Chu, Junjie, et al.
Pubblicazione: (2024)

ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs
di: Ni, Ziyi, et al.
Pubblicazione: (2025)

Effective and Efficient Jailbreaks of Black-Box LLMs with Cross-Behavior Attacks
di: Gohil, Vasudev
Pubblicazione: (2025)

Jailbreaking LLMs via Calibration
di: Lu, Yuxuan, et al.
Pubblicazione: (2026)

FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
di: Gong, Yichen, et al.
Pubblicazione: (2023)

Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
di: Jaiswal, Piyush, et al.
Pubblicazione: (2026)

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

DistillGuard: Evaluating Defenses Against LLM Knowledge Distillation
di: Jiang, Bo
Pubblicazione: (2026)

BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
di: Zhang, Andy K., et al.
Pubblicazione: (2025)

AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs
di: Lv, Lijia, et al.
Pubblicazione: (2024)

GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
di: Xie, Yueqi, et al.
Pubblicazione: (2024)

Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion
di: Cui, Tiehan, et al.
Pubblicazione: (2025)

Jailbreaking LLMs via Semantically Relevant Nested Scenarios with Targeted Toxic Knowledge
di: Xu, Ning, et al.
Pubblicazione: (2025)

PaCE: Parsimonious Concept Engineering for Large Language Models
di: Luo, Jinqi, et al.
Pubblicazione: (2024)

"Moralized" Multi-Step Jailbreak Prompts: Black-Box Testing of Guardrails in Large Language Models for Verbal Attacks
di: Wang, Libo
Pubblicazione: (2024)

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
di: Pathade, Chetan
Pubblicazione: (2025)

Fight Back Against Jailbreaking via Prompt Adversarial Tuning
di: Mo, Yichuan, et al.
Pubblicazione: (2024)