Distillability of LLM Security Logic: Predicting Attack Success Rate of Outline Filling Attack via Ranking Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Tianyu, Xi, Zihang, Hua, Jingyu, Zhong, Sheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors
by: Li, Zi, et al.
Published: (2026)
by: Li, Zi, et al.
Published: (2026)
Single-Configuration Attack Success Rate Is Not Enough: Jailbreak Evaluations Should Report Distributional Attack Success
by: Maple, Carsten, et al.
Published: (2026)
by: Maple, Carsten, et al.
Published: (2026)
Subtoxic Questions: Dive Into Attitude Change of LLM's Response in Jailbreak Attempts
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts
by: Shen, Zhili, et al.
Published: (2024)
by: Shen, Zhili, et al.
Published: (2024)
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
by: Zhang, Hanrong, et al.
Published: (2024)
by: Zhang, Hanrong, et al.
Published: (2024)
Security of Internet of Agents: Attacks and Countermeasures
by: Wang, Yuntao, et al.
Published: (2025)
by: Wang, Yuntao, et al.
Published: (2025)
MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents
by: Zhang, Dongsen, et al.
Published: (2025)
by: Zhang, Dongsen, et al.
Published: (2025)
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
by: Wu, Yixin, et al.
Published: (2025)
by: Wu, Yixin, et al.
Published: (2025)
Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
by: Chen, Sizhe, et al.
Published: (2025)
by: Chen, Sizhe, et al.
Published: (2025)
DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation
by: An, Hyeseon, et al.
Published: (2025)
by: An, Hyeseon, et al.
Published: (2025)
CompressionAttack: Exploiting Prompt Compression as a New Attack Surface in LLM-Powered Agents
by: Liu, Zesen, et al.
Published: (2025)
by: Liu, Zesen, et al.
Published: (2025)
Clean-Label Physical Backdoor Attacks with Data Distillation
by: Dao, Thinh, et al.
Published: (2024)
by: Dao, Thinh, et al.
Published: (2024)
AutoBackdoor: Automating Backdoor Attacks via LLM Agents
by: Li, Yige, et al.
Published: (2025)
by: Li, Yige, et al.
Published: (2025)
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent
by: Ning, Liang-bo, et al.
Published: (2025)
by: Ning, Liang-bo, et al.
Published: (2025)
On Membership Inference Attacks in Knowledge Distillation
by: Cui, Ziyao, et al.
Published: (2025)
by: Cui, Ziyao, et al.
Published: (2025)
Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks
by: Alharbi, Ebtisaam, et al.
Published: (2025)
by: Alharbi, Ebtisaam, et al.
Published: (2025)
Securing AI Agents Against Prompt Injection Attacks
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)
by: Han, Shanshan, et al.
Published: (2023)
The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
by: Litvak, Ron
Published: (2026)
by: Litvak, Ron
Published: (2026)
LoopTrap: Termination Poisoning Attacks on LLM Agents
by: Xu, Huiyu, et al.
Published: (2026)
by: Xu, Huiyu, et al.
Published: (2026)
Securing Retrieval-Augmented Generation: A Taxonomy of Attacks, Defenses, and Future Directions
by: Xu, Yuming, et al.
Published: (2026)
by: Xu, Yuming, et al.
Published: (2026)
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
by: Zheng, Jingyi, et al.
Published: (2024)
by: Zheng, Jingyi, et al.
Published: (2024)
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
by: Song, Baogang, et al.
Published: (2025)
by: Song, Baogang, et al.
Published: (2025)
Attacking Slicing Network via Side-channel Reinforcement Learning Attack
by: Shao, Wei, et al.
Published: (2024)
by: Shao, Wei, et al.
Published: (2024)
Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses
by: Shang, Zhengchun, et al.
Published: (2025)
by: Shang, Zhengchun, et al.
Published: (2025)
Enhancing TinyML Security: Study of Adversarial Attack Transferability
by: Shah, Parin, et al.
Published: (2024)
by: Shah, Parin, et al.
Published: (2024)
Securing AI Systems: A Guide to Known Attacks and Impacts
by: Kiribuchi, Naoto, et al.
Published: (2025)
by: Kiribuchi, Naoto, et al.
Published: (2025)
RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
by: Arzanipour, Atousa, et al.
Published: (2025)
by: Arzanipour, Atousa, et al.
Published: (2025)
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
by: Zhang, Quan, et al.
Published: (2024)
by: Zhang, Quan, et al.
Published: (2024)
Democratizing ML for Enterprise Security: A Self-Sustained Attack Detection Framework
by: Momeni, Sadegh, et al.
Published: (2025)
by: Momeni, Sadegh, et al.
Published: (2025)
MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data
by: German, Eyal, et al.
Published: (2025)
by: German, Eyal, et al.
Published: (2025)
Targeted Bit-Flip Attacks on LLM-Based Agents
by: Wang, Jialai, et al.
Published: (2026)
by: Wang, Jialai, et al.
Published: (2026)
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
by: Ning, Liangbo, et al.
Published: (2025)
by: Ning, Liangbo, et al.
Published: (2025)
Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges
by: Patel, Raj, et al.
Published: (2025)
by: Patel, Raj, et al.
Published: (2025)
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
by: Evtimov, Ivan, et al.
Published: (2025)
by: Evtimov, Ivan, et al.
Published: (2025)
From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
by: Zhang, Zhixiang, et al.
Published: (2026)
by: Zhang, Zhixiang, et al.
Published: (2026)
When Alignment Isn't Enough: Response-Path Attacks on LLM Agents
by: Luo, Mingyu, et al.
Published: (2026)
by: Luo, Mingyu, et al.
Published: (2026)
FlipAttack: Jailbreak LLMs via Flipping
by: Liu, Yue, et al.
Published: (2024)
by: Liu, Yue, et al.
Published: (2024)
Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models
by: Li, Xi, et al.
Published: (2024)
by: Li, Xi, et al.
Published: (2024)
To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
by: Wang, Zhilong, et al.
Published: (2025)
by: Wang, Zhilong, et al.
Published: (2025)
Similar Items
-
Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors
by: Li, Zi, et al.
Published: (2026) -
Single-Configuration Attack Success Rate Is Not Enough: Jailbreak Evaluations Should Report Distributional Attack Success
by: Maple, Carsten, et al.
Published: (2026) -
Subtoxic Questions: Dive Into Attitude Change of LLM's Response in Jailbreak Attempts
by: Zhang, Tianyu, et al.
Published: (2024) -
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts
by: Shen, Zhili, et al.
Published: (2024) -
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
by: Zhang, Hanrong, et al.
Published: (2024)