AutoBackdoor: Automating Backdoor Attacks via LLM Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Yige, Li, Zhe, Zhao, Wei, Min, Nay Myat, Huang, Hanxun, Ma, Xingjun, Sun, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
by: Li, Yige, et al.
Published: (2026)
by: Li, Yige, et al.
Published: (2026)
Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
by: Li, Yige, et al.
Published: (2024)
by: Li, Yige, et al.
Published: (2024)
Unified Neural Backdoor Removal with Only Few Clean Samples through Unlearning and Relearning
by: Min, Nay Myat, et al.
Published: (2024)
by: Min, Nay Myat, et al.
Published: (2024)
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
by: Li, Yige, et al.
Published: (2024)
by: Li, Yige, et al.
Published: (2024)
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
by: Jiang, Peihai, et al.
Published: (2025)
by: Jiang, Peihai, et al.
Published: (2025)
DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models
by: Xu, Zonghuan, et al.
Published: (2025)
by: Xu, Zonghuan, et al.
Published: (2025)
CORVUS: Red-Teaming Hallucination Detectors via Internal Signal Camouflage in Large Language Models
by: Min, Nay Myat, et al.
Published: (2026)
by: Min, Nay Myat, et al.
Published: (2026)
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
by: Ge, Huaizhi, et al.
Published: (2024)
by: Ge, Huaizhi, et al.
Published: (2024)
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
by: Ning, Liangbo, et al.
Published: (2025)
by: Ning, Liangbo, et al.
Published: (2025)
SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems
by: Feng, Yunhao, et al.
Published: (2026)
by: Feng, Yunhao, et al.
Published: (2026)
Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models
by: Min, Nay Myat, et al.
Published: (2026)
by: Min, Nay Myat, et al.
Published: (2026)
End-to-End Anti-Backdoor Learning on Images and Time Series
by: Jiang, Yujing, et al.
Published: (2024)
by: Jiang, Yujing, et al.
Published: (2024)
BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting
by: Qiu, Huming, et al.
Published: (2023)
by: Qiu, Huming, et al.
Published: (2023)
BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning
by: Tie, Guiyao, et al.
Published: (2026)
by: Tie, Guiyao, et al.
Published: (2026)
FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
by: Yin, Yangxu, et al.
Published: (2025)
by: Yin, Yangxu, et al.
Published: (2025)
Backdoor Attack with Invisible Triggers Based on Model Architecture Modification
by: Ma, Yuan, et al.
Published: (2024)
by: Ma, Yuan, et al.
Published: (2024)
DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
by: Zhu, Pengyu, et al.
Published: (2025)
by: Zhu, Pengyu, et al.
Published: (2025)
Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security
by: Zhao, Wei, et al.
Published: (2025)
by: Zhao, Wei, et al.
Published: (2025)
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
by: Song, Baogang, et al.
Published: (2025)
by: Song, Baogang, et al.
Published: (2025)
Collaborative Shadows: Distributed Backdoor Attacks in LLM-Based Multi-Agent Systems
by: Zhu, Pengyu, et al.
Published: (2025)
by: Zhu, Pengyu, et al.
Published: (2025)
Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward
by: Guo, Weiyang, et al.
Published: (2026)
by: Guo, Weiyang, et al.
Published: (2026)
Compromising Embodied Agents with Contextual Backdoor Attacks
by: Liu, Aishan, et al.
Published: (2024)
by: Liu, Aishan, et al.
Published: (2024)
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
by: Yang, He, et al.
Published: (2026)
by: Yang, He, et al.
Published: (2026)
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
by: Huang, Yuanmin, et al.
Published: (2025)
by: Huang, Yuanmin, et al.
Published: (2025)
UOR: Universal Backdoor Attacks on Pre-trained Language Models
by: Du, Wei, et al.
Published: (2023)
by: Du, Wei, et al.
Published: (2023)
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
by: Yin, Yangxu, et al.
Published: (2025)
by: Yin, Yangxu, et al.
Published: (2025)
Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras
by: Riaño, Roberto, et al.
Published: (2024)
by: Riaño, Roberto, et al.
Published: (2024)
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
Heterogeneous Graph Backdoor Attack
by: Chen, Jiawei, et al.
Published: (2025)
by: Chen, Jiawei, et al.
Published: (2025)
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
by: Lin, Chenhao, et al.
Published: (2025)
by: Lin, Chenhao, et al.
Published: (2025)
Concept-Guided Backdoor Attack on Vision Language Models
by: Shen, Haoyu, et al.
Published: (2025)
by: Shen, Haoyu, et al.
Published: (2025)
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
by: Tong, Terry, et al.
Published: (2025)
by: Tong, Terry, et al.
Published: (2025)
Your Agent Can Defend Itself against Backdoor Attacks
by: Changjiang, Li, et al.
Published: (2025)
by: Changjiang, Li, et al.
Published: (2025)
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
by: Zheng, Jingyi, et al.
Published: (2024)
by: Zheng, Jingyi, et al.
Published: (2024)
Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
by: Zhao, Jingke, et al.
Published: (2024)
by: Zhao, Jingke, et al.
Published: (2024)
Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models
by: Chen, Linzhi, et al.
Published: (2025)
by: Chen, Linzhi, et al.
Published: (2025)
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
by: Zhao, Wei, et al.
Published: (2024)
by: Zhao, Wei, et al.
Published: (2024)
Invisible Textual Backdoor Attacks based on Dual-Trigger
by: Hou, Yang, et al.
Published: (2024)
by: Hou, Yang, et al.
Published: (2024)
Similar Items
-
Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
by: Li, Yige, et al.
Published: (2026) -
Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
by: Li, Yige, et al.
Published: (2024) -
Unified Neural Backdoor Removal with Only Few Clean Samples through Unlearning and Relearning
by: Min, Nay Myat, et al.
Published: (2024) -
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
by: Li, Yige, et al.
Published: (2024) -
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
by: Li, Jiayu, et al.
Published: (2025)