Exploring Vulnerabilities and Protections in Large Language Models: A Survey

1 June 2024

Papers citing "Exploring Vulnerabilities and Protections in Large Language Models: A Survey"

10 / 10 papers shown

Title
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models Yangguang Shao Xinjie Lin Haozheng Luo Chengshang Hou G. Xiong J. Yu Junzheng Shi SILM 42 0 0 10 May 2025
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Francisco Aguilera-Martínez Fernando Berzal PILM 50 0 0 02 May 2025
Adversarial Attacks on LLM-as-a-Judge Systems: Insights from Prompt Injections Narek Maloyan Dmitry Namiot SILM AAML ELM 77 0 0 25 Apr 2025
eFedLLM: Efficient LLM Inference Based on Federated Learning Shengwen Ding Chenhui Hu FedML 67 0 0 24 Nov 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 73 1 0 09 Oct 2024
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders David A. Noever Forrest McKee AAML 48 0 0 09 Oct 2024
Gemma: Open Models Based on Gemini Research and Technology Gemma Team Gemma Team Thomas Mesnard Cassidy Hardin Robert Dadashi Surya Bhupatiraju ... Armand Joulin Noah Fiedel Evan Senter Alek Andreev Kathleen Kenealy VLM LLMAG 129 423 0 13 Mar 2024
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models Shuai Zhao Jinming Wen Anh Tuan Luu J. Zhao Jie Fu SILM 57 89 0 02 May 2023
Poisoning Language Models During Instruction Tuning Alexander Wan Eric Wallace Sheng Shen Dan Klein SILM 90 124 0 01 May 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 32 56 0 03 Mar 2023