Backdoor Pre-trained Models Can Transfer to All

Backdoor Pre-trained Models Can Transfer to All

30 October 2021

Xuhong Zhang

Papers citing "Backdoor Pre-trained Models Can Transfer to All"

18 / 18 papers shown

Title
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks Rui Zhang Yun Shen Hongwei Li Wenbo Jiang Hanxiao Chen Yuan Zhang Guowen Xu Yang Zhang SILM AAML 35 0 0 16 May 2025
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting Tianya Zhao Ningning Wang Junqing Zhang Xuyu Wang AAML 50 0 0 01 May 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning Oubo Ma L. Du Yang Dai Chunyi Zhou Qingming Li Yuwen Pu Shouling Ji 48 0 0 28 Jan 2025
Mind Your Questions! Towards Backdoor Attacks on Text-to-Visualization Models Shuaimin Li Yuanfeng Song Xuanang Chen Anni Peng Zhuoyue Wan Chen Jason Zhang Raymond Chi-Wing Wong SILM 31 0 0 09 Oct 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models Hongbin Liu Michael K. Reiter Neil Zhenqiang Gong AAML 49 2 0 22 Feb 2024
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents Wenkai Yang Xiaohan Bi Yankai Lin Sishuo Chen Jie Zhou Xu Sun LLMAG AAML 48 56 0 17 Feb 2024
Punctuation Matters! Stealthy Backdoor Attack for Language Models Xuan Sheng Zhicheng Li Zhaoyang Han Xiangmao Chang Piji Li 43 3 0 26 Dec 2023
The Philosopher's Stone: Trojaning Plugins of Large Language Models Tian Dong Minhui Xue Guoxing Chen Rayne Holland Shaofeng Li Yan Meng Zhen Liu Haojin Zhu AAML 32 11 0 01 Dec 2023
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models Kai Mei Zheng Li Zhenting Wang Yang Zhang Shiqing Ma AAML SILM 37 48 0 28 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 52 83 0 19 May 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 27 20 0 27 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 49 21 0 19 Feb 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 47 28 0 03 Jan 2023
Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learning Xiaoyi Chen Baisong Xin Shengfang Zhai Shiqing Ma Qingni Shen Zhonghai Wu SILM 24 2 0 20 Oct 2022
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving Xingshuo Han Guowen Xu Yuanpu Zhou Xuehuan Yang Jiwei Li Tianwei Zhang AAML 32 43 0 02 Mar 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense Guangyu Shen Yingqi Liu Guanhong Tao Qiuling Xu Zhuo Zhang Shengwei An Shiqing Ma Xinming Zhang AAML 26 34 0 11 Feb 2022
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 35 57 0 25 Nov 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 248 1,454 0 18 Mar 2020