PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Tingchen, Sharma, Mrinank, Torr, Philip, Cohen, Shay B., Krueger, David, Barez, Fazl |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Denial-of-Service Poisoning Attacks against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024)
by: Gao, Kuofeng, et al.
Published: (2024)
Learning to Poison Large Language Models for Downstream Manipulation
by: Zhou, Xiangyu, et al.
Published: (2024)
by: Zhou, Xiangyu, et al.
Published: (2024)
Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs
by: Sivapiromrat, Sanhanat, et al.
Published: (2025)
by: Sivapiromrat, Sanhanat, et al.
Published: (2025)
SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models
by: Afane, Mohamed, et al.
Published: (2025)
by: Afane, Mohamed, et al.
Published: (2025)
Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach
by: Wang, Tony T., et al.
Published: (2024)
by: Wang, Tony T., et al.
Published: (2024)
Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
by: Duan, Wenjing, et al.
Published: (2026)
by: Duan, Wenjing, et al.
Published: (2026)
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
by: Fu, Tingchen, et al.
Published: (2025)
by: Fu, Tingchen, et al.
Published: (2025)
Poison with Style: A Practical Poisoning Attack on Code Large Language Models
by: Tran, Khang, et al.
Published: (2026)
by: Tran, Khang, et al.
Published: (2026)
P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
by: Zhao, Shuai, et al.
Published: (2025)
by: Zhao, Shuai, et al.
Published: (2025)
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models
by: Panaitescu-Liess, Michael-Andrei, et al.
Published: (2025)
by: Panaitescu-Liess, Michael-Andrei, et al.
Published: (2025)
Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking
by: Wu, Yu-Hang, et al.
Published: (2025)
by: Wu, Yu-Hang, et al.
Published: (2025)
RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation
by: Zhao, Tianzhe, et al.
Published: (2025)
by: Zhao, Tianzhe, et al.
Published: (2025)
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs
by: Chen, Bocheng, et al.
Published: (2024)
by: Chen, Bocheng, et al.
Published: (2024)
Data Poisoning for In-context Learning
by: He, Pengfei, et al.
Published: (2024)
by: He, Pengfei, et al.
Published: (2024)
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
by: Wu, Zongru, et al.
Published: (2024)
by: Wu, Zongru, et al.
Published: (2024)
Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing
by: Grimes, Keltin, et al.
Published: (2024)
by: Grimes, Keltin, et al.
Published: (2024)
Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
by: He, Haorui, et al.
Published: (2025)
by: He, Haorui, et al.
Published: (2025)
Disabling Self-Correction in Retrieval-Augmented Generation via Stealthy Retriever Poisoning
by: Dai, Yanbo, et al.
Published: (2025)
by: Dai, Yanbo, et al.
Published: (2025)
Graph Representation-based Model Poisoning on Federated Large Language Models
by: Cai, Hanlin, et al.
Published: (2025)
by: Cai, Hanlin, et al.
Published: (2025)
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
by: Cotroneo, Domenico, et al.
Published: (2023)
by: Cotroneo, Domenico, et al.
Published: (2023)
SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks
by: He, Xuanli, et al.
Published: (2024)
by: He, Xuanli, et al.
Published: (2024)
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
by: Wang, Jiongxiao, et al.
Published: (2023)
by: Wang, Jiongxiao, et al.
Published: (2023)
Sharpness-Aware Data Poisoning Attack
by: He, Pengfei, et al.
Published: (2023)
by: He, Pengfei, et al.
Published: (2023)
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
by: Zhao, Shuai, et al.
Published: (2024)
by: Zhao, Shuai, et al.
Published: (2024)
Privacy-Preserving Federated Learning Scheme with Mitigating Model Poisoning Attacks: Vulnerabilities and Countermeasures
by: Wu, Jiahui, et al.
Published: (2025)
by: Wu, Jiahui, et al.
Published: (2025)
PoisonCatcher: Revealing and Identifying LDP Poisoning Attacks in IIoT
by: Shuai, Lisha, et al.
Published: (2024)
by: Shuai, Lisha, et al.
Published: (2024)
Retrieval-Augmented Review Generation for Poisoning Recommender Systems
by: Yang, Shiyi, et al.
Published: (2025)
by: Yang, Shiyi, et al.
Published: (2025)
PARASITE: Conditional System Prompt Poisoning to Hijack LLMs
by: Pham, Viet, et al.
Published: (2025)
by: Pham, Viet, et al.
Published: (2025)
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
by: Liang, Zi, et al.
Published: (2025)
by: Liang, Zi, et al.
Published: (2025)
Data Poisoning: An Overlooked Threat to Power Grid Resilience
by: Agah, Nora, et al.
Published: (2024)
by: Agah, Nora, et al.
Published: (2024)
Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data
by: Baumgärtner, Tim, et al.
Published: (2024)
by: Baumgärtner, Tim, et al.
Published: (2024)
CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models
by: Li, Chunyang, et al.
Published: (2025)
by: Li, Chunyang, et al.
Published: (2025)
Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs
by: Wang, Linlin, et al.
Published: (2025)
by: Wang, Linlin, et al.
Published: (2025)
Blockchain Address Poisoning
by: Tsuchiya, Taro, et al.
Published: (2025)
by: Tsuchiya, Taro, et al.
Published: (2025)
Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning
by: Zhang, Bokang, et al.
Published: (2025)
by: Zhang, Bokang, et al.
Published: (2025)
Architecture Matters: Comparing RAG Systems under Knowledge Base Poisoning
by: Korn, Samuel
Published: (2026)
by: Korn, Samuel
Published: (2026)
A Systematic Review of Poisoning Attacks Against Large Language Models
by: Fendley, Neil, et al.
Published: (2025)
by: Fendley, Neil, et al.
Published: (2025)
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
by: Lan, Michael, et al.
Published: (2023)
by: Lan, Michael, et al.
Published: (2023)
Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
by: Abtahi, Farhad, et al.
Published: (2025)
by: Abtahi, Farhad, et al.
Published: (2025)
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
by: Siciliano, Federico, et al.
Published: (2023)
by: Siciliano, Federico, et al.
Published: (2023)
Similar Items
-
Denial-of-Service Poisoning Attacks against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024) -
Learning to Poison Large Language Models for Downstream Manipulation
by: Zhou, Xiangyu, et al.
Published: (2024) -
Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs
by: Sivapiromrat, Sanhanat, et al.
Published: (2025) -
SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models
by: Afane, Mohamed, et al.
Published: (2025) -
Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach
by: Wang, Tony T., et al.
Published: (2024)