Cover Image

Towards Reliable and Practical LLM Security Evaluations via Bayesian Modelling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Llewellyn, Mary, Gray, Annie, Collyer, Josh, Harries, Michael
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts
by: Uenal, Fatih
Published: (2026)

Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation
by: Shao, Shuo, et al.
Published: (2025)

BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards
by: Dorn, Diego, et al.
Published: (2024)

XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts
by: Xu, Jiahao, et al.
Published: (2026)

LLM for SoC Security: A Paradigm Shift
by: Saha, Dipayan, et al.
Published: (2023)

AVISE: Framework for Evaluating the Security of AI Systems
by: Lempinen, Mikko, et al.
Published: (2026)

Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
by: Wu, Tianyi, et al.
Published: (2026)

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
by: Ying, Zonghao, et al.
Published: (2025)

GradingAttack: Exposing Security Vulnerabilities in LLM Based Educational Grading Agents
by: Li, Xueyi, et al.
Published: (2026)

Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers
by: Heye, David, et al.
Published: (2026)

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
by: Wu, Yiran, et al.
Published: (2025)

Text Embedding Inversion Security for Multilingual Language Models
by: Chen, Yiyi, et al.
Published: (2024)

ACIArena: Toward Unified Evaluation for Agent Cascading Injection
by: An, Hengyu, et al.
Published: (2026)

DistillGuard: Evaluating Defenses Against LLM Knowledge Distillation
by: Jiang, Bo
Published: (2026)

ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models
by: Owiredu-Ashley, Harry
Published: (2026)

Security and Privacy Challenges of Large Language Models: A Survey
by: Das, Badhan Chandra, et al.
Published: (2024)

Institutional Platform for Secure Self-Service Large Language Model Exploration
by: Bumgardner, V. K. Cody, et al.
Published: (2024)

Searching for Privacy Risks in LLM Agents via Simulation
by: Zhang, Yanzhe, et al.
Published: (2025)

Offensive Security for AI Systems: Concepts, Practices, and Applications
by: Harguess, Josh, et al.
Published: (2025)

Guarding Your Conversations: Privacy Gatekeepers for Secure Interactions with Cloud-Based AI Models
by: Uzor, GodsGift, et al.
Published: (2025)

Toward Cybersecurity-Expert Small Language Models
by: Levi, Matan, et al.
Published: (2025)

Improving LLM Reasoning for Vulnerability Detection via Group Relative Policy Optimization
by: Simoni, Marco, et al.
Published: (2025)

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
by: Li, Xingyu, et al.
Published: (2025)

SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
by: Dong, Xiaoning, et al.
Published: (2024)

Towards Understanding the Cognitive Habits of Large Reasoning Models
by: Dong, Jianshuo, et al.
Published: (2025)

Large Language Model Sentinel: LLM Agent for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
by: Yu, Miao, et al.
Published: (2024)

SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning
by: Zhou, Kaiwen, et al.
Published: (2025)

MAGE: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory
by: Wang, Yuhui, et al.
Published: (2026)

The Ethics of Interaction: Mitigating Security Threats in LLMs
by: Kumar, Ashutosh, et al.
Published: (2024)

Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
by: Wang, Yanbo, et al.
Published: (2026)

Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
by: Liu, Tiantian, et al.
Published: (2024)

P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
by: Zhao, Shuai, et al.
Published: (2025)

A Survey on Agentic Security: Applications, Threats and Defenses
by: Shahriar, Asif, et al.
Published: (2025)

Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings
by: Zhang, Yuanhe, et al.
Published: (2024)

Learned, Lagged, LLM-splained: LLM Responses to End User Security Questions
by: Prakash, Vijay, et al.
Published: (2024)

The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums
by: Clairoux-Trepanier, Vanessa, et al.
Published: (2024)

How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?
by: Li, Yuxuan, et al.
Published: (2026)

Mark My Words: Analyzing and Evaluating Language Model Watermarks
by: Piet, Julien, et al.
Published: (2023)

A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
by: Mell, Stephen, et al.
Published: (2025)