BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yifei, Xue, Dizhan, Zhang, Shengjie, Qian, Shengsheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
by: Qian, Shengsheng, et al.
Published: (2023)
by: Qian, Shengsheng, et al.
Published: (2023)
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Compromising Embodied Agents with Contextual Backdoor Attacks
by: Liu, Aishan, et al.
Published: (2024)
by: Liu, Aishan, et al.
Published: (2024)
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
by: Tong, Terry, et al.
Published: (2025)
by: Tong, Terry, et al.
Published: (2025)
Federated In-Context LLM Agent Learning
by: Wu, Panlong, et al.
Published: (2024)
by: Wu, Panlong, et al.
Published: (2024)
EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
by: Liao, Zeyi, et al.
Published: (2024)
by: Liao, Zeyi, et al.
Published: (2024)
Policy-Invisible Violations in LLM-Based Agents
by: Wu, Jie, et al.
Published: (2026)
by: Wu, Jie, et al.
Published: (2026)
Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning
by: Ahmed, Nesreen K., et al.
Published: (2026)
by: Ahmed, Nesreen K., et al.
Published: (2026)
BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack
by: Khan, Md Nabi Newaz, et al.
Published: (2026)
by: Khan, Md Nabi Newaz, et al.
Published: (2026)
Your Agent Can Defend Itself against Backdoor Attacks
by: Changjiang, Li, et al.
Published: (2025)
by: Changjiang, Li, et al.
Published: (2025)
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
by: Wang, Kun, et al.
Published: (2025)
by: Wang, Kun, et al.
Published: (2025)
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)
by: Xu, Jiashu, et al.
Published: (2023)
STAC: When Innocent Tools Form Dangerous Chains to Jailbreak LLM Agents
by: Li, Jing-Jing, et al.
Published: (2025)
by: Li, Jing-Jing, et al.
Published: (2025)
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
by: Yang, Wenkai, et al.
Published: (2024)
by: Yang, Wenkai, et al.
Published: (2024)
Toward a Safer Web: Multilingual Multi-Agent LLMs for Mitigating Adversarial Misinformation Attacks
by: Aldahoul, Nouar, et al.
Published: (2025)
by: Aldahoul, Nouar, et al.
Published: (2025)
SteganoBackdoor: Stealthy and Data-Efficient Backdoor Attacks on Language Models
by: Xue, Eric, et al.
Published: (2025)
by: Xue, Eric, et al.
Published: (2025)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
by: Wang, Yifei, et al.
Published: (2026)
by: Wang, Yifei, et al.
Published: (2026)
RLShield: Practical Multi-Agent RL for Financial Cyber Defense with Attack-Surface MDPs and Real-Time Response Orchestration
by: Nayak, Srikumar
Published: (2026)
by: Nayak, Srikumar
Published: (2026)
HSF: Defending against Jailbreak Attacks with Hidden State Filtering
by: Qian, Cheng, et al.
Published: (2024)
by: Qian, Cheng, et al.
Published: (2024)
The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
by: Jia, Feiran, et al.
Published: (2024)
by: Jia, Feiran, et al.
Published: (2024)
Exposing LLM Safety Gaps Through Mathematical Encoding:New Attacks and Systematic Analysis
by: Zhang, Haoyu, et al.
Published: (2026)
by: Zhang, Haoyu, et al.
Published: (2026)
Do Phone-Use Agents Respect Your Privacy?
by: Tang, Zhengyang, et al.
Published: (2026)
by: Tang, Zhengyang, et al.
Published: (2026)
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
by: Liu, Qin, et al.
Published: (2023)
by: Liu, Qin, et al.
Published: (2023)
Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening
by: Zhang, Mohan, et al.
Published: (2026)
by: Zhang, Mohan, et al.
Published: (2026)
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
by: Wu, Xiaoyu, et al.
Published: (2025)
by: Wu, Xiaoyu, et al.
Published: (2025)
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks
by: Poppi, Samuele, et al.
Published: (2024)
by: Poppi, Samuele, et al.
Published: (2024)
SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
by: Jin, Chang, et al.
Published: (2026)
by: Jin, Chang, et al.
Published: (2026)
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
by: Liang, Buyun, et al.
Published: (2025)
by: Liang, Buyun, et al.
Published: (2025)
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
by: Liang, Buyun, et al.
Published: (2026)
by: Liang, Buyun, et al.
Published: (2026)
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
by: Cao, Bochuan, et al.
Published: (2023)
by: Cao, Bochuan, et al.
Published: (2023)
Universal Jailbreak Backdoors from Poisoned Human Feedback
by: Rando, Javier, et al.
Published: (2023)
by: Rando, Javier, et al.
Published: (2023)
Weight space Detection of Backdoors in LoRA Adapters
by: Merenciano, David Puertolas, et al.
Published: (2026)
by: Merenciano, David Puertolas, et al.
Published: (2026)
Structure-Aware Distributed Backdoor Attacks in Federated Learning
by: Jian, Wang, et al.
Published: (2026)
by: Jian, Wang, et al.
Published: (2026)
A Study of Backdoors in Instruction Fine-tuned Language Models
by: Raghuram, Jayaram, et al.
Published: (2024)
by: Raghuram, Jayaram, et al.
Published: (2024)
Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs
by: Rando, Javier, et al.
Published: (2024)
by: Rando, Javier, et al.
Published: (2024)
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks
by: Mengara, Orson
Published: (2024)
by: Mengara, Orson
Published: (2024)
Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs
by: Betley, Jan, et al.
Published: (2025)
by: Betley, Jan, et al.
Published: (2025)
IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems
by: Wang, Liwen, et al.
Published: (2025)
by: Wang, Liwen, et al.
Published: (2025)
Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents
by: Wang, Chunxiao
Published: (2026)
by: Wang, Chunxiao
Published: (2026)
Similar Items
-
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
by: Qian, Shengsheng, et al.
Published: (2023) -
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
by: Xue, Jiaqi, et al.
Published: (2024) -
Compromising Embodied Agents with Contextual Backdoor Attacks
by: Liu, Aishan, et al.
Published: (2024) -
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
by: Tong, Terry, et al.
Published: (2025) -
Federated In-Context LLM Agent Learning
by: Wu, Panlong, et al.
Published: (2024)