Cover Image

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hanrong, Huang, Jingyuan, Mei, Kai, Yao, Yifei, Wang, Zhenting, Zhan, Chenlu, Wang, Hongwei, Zhang, Yongfeng
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents
by: Zhang, Dongsen, et al.
Published: (2025)

RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic Agents
by: Yeke, Doguhuan, et al.
Published: (2026)

AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
by: Wang, Yihan, et al.
Published: (2025)

A Framework for Formalizing LLM Agent Security
by: Siu, Vincent, et al.
Published: (2026)

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

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
by: Zhan, Qiusi, et al.
Published: (2025)

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures
by: Kong, Dezhang, et al.
Published: (2025)

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

CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios
by: Lim, Taein, et al.
Published: (2026)

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
by: Wang, Yifei, et al.
Published: (2024)

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
by: Debenedetti, Edoardo, et al.
Published: (2024)

AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?
by: Li, Hao, et al.
Published: (2026)

Reframing LLM Agent Security as an Agent-Human Interaction Problem
by: Wang, Peiran, et al.
Published: (2026)

Memory Poisoning Attack and Defense on Memory Based LLM-Agents
by: Sunil, Balachandra Devarangadi, et al.
Published: (2026)

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
by: Li, Hao, et al.
Published: (2025)

Securing LLM Agents Need Intent-to-Execution Integrity
by: Qu, Wenjie, et al.
Published: (2026)

DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
by: Zhu, Pengyu, et al.
Published: (2025)

Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
by: Xiang, Chong, et al.
Published: (2026)

Security of Internet of Agents: Attacks and Countermeasures
by: Wang, Yuntao, et al.
Published: (2025)

SLEIGHT-Bench: A Benchmark of Evasion Attacks Against Agent Monitors
by: Najt, Elle, et al.
Published: (2026)

Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
by: Mu, Yanming, et al.
Published: (2026)

Systems-Level Attack Surface of Edge Agent Deployments on IoT
by: Zhan, Zhonghao, et al.
Published: (2026)

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework
by: Chu, Kexin
Published: (2026)

AttriGuard: Defeating Indirect Prompt Injection in LLM Agents via Causal Attribution of Tool Invocations
by: He, Yu, et al.
Published: (2026)

MindGuard: Intrinsic Decision Inspection for Securing LLM Agents Against Metadata Poisoning
by: Wang, Zhiqiang, et al.
Published: (2025)

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

Security Attacks on LLM-based Code Completion Tools
by: Cheng, Wen, et al.
Published: (2024)

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents
by: Hu, Haitao, et al.
Published: (2025)

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation
by: Qi, Zhisheng, et al.
Published: (2026)

A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
by: Hossain, S M Asif, et al.
Published: (2025)

SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
by: Lee, Hwiwon, et al.
Published: (2025)

LoopTrap: Termination Poisoning Attacks on LLM Agents
by: Xu, Huiyu, et al.
Published: (2026)

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

System Password Security: Attack and Defense Mechanisms
by: Shi, Chaofang, et al.
Published: (2025)

Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents
by: Li, Zongwei, et al.
Published: (2026)

A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory
by: Wei, Qianshan, et al.
Published: (2025)

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
by: Zhu, Kaijie, et al.
Published: (2025)

Removal Attack and Defense on AI-generated Content Latent-based Watermarking
by: Lee, De Zhang, et al.
Published: (2025)

Formalizing and Benchmarking Prompt Injection Attacks and Defenses
by: Liu, Yupei, et al.
Published: (2023)