Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning

11 January 2024

Papers citing "Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning"

8 / 8 papers shown

Title
Attention Tracker: Detecting Prompt Injection Attacks in LLMs Kuo-Han Hung Ching-Yun Ko Ambrish Rawat I-Hsin Chung Winston H. Hsu Pin-Yu Chen 36 7 0 01 Nov 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 28 0 0 18 Jul 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 51 88 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
TrojText: Test-time Invisible Textual Trojan Insertion Qiang Lou Ye Liu Bo Feng 24 21 0 03 Mar 2023
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 105 133 0 22 May 2022
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation Thong Nguyen A. Luu 48 39 0 07 Dec 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020