Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch

16 June 2021

Papers citing "Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch"

21 / 21 papers shown

Title
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving Ming Liu Siyuan Liang Koushik Howlader L. Wang Dacheng Tao Wensheng Zhang AAML 26 0 0 09 May 2025
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 75 1 0 16 Dec 2024
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 50 1 0 17 Nov 2024
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 31 0 0 28 May 2024
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment Jiong Wang Jiazhao Li Yiquan Li Xiangyu Qi Junjie Hu Yixuan Li P. McDaniel Muhao Chen Bo Li Chaowei Xiao AAML SILM 37 16 0 22 Feb 2024
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand Junfeng Guo Yiming Li Lixu Wang Shu-Tao Xia Heng-Chiao Huang Cong Liu Boheng Li 30 50 0 09 Oct 2023
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation Yanxin Yang Ming Hu Yue Cao Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 26 6 0 22 Aug 2023
Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound Hanbo Cai Pengcheng Zhang Hai Dong Yan Xiao Stefanos Koffas Yiming Li AAML 21 28 0 17 Jul 2023
Black-box Backdoor Defense via Zero-shot Image Purification Yucheng Shi Mengnan Du Xuansheng Wu Zihan Guan Jin Sun Ninghao Liu 40 28 0 21 Mar 2023
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms Minzhou Pan Yi Zeng Lingjuan Lyu X. Lin R. Jia AAML 26 35 0 22 Feb 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 31 182 0 20 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 44 21 0 19 Feb 2023
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning Virat Shejwalkar Lingjuan Lyu Amir Houmansadr AAML 25 10 0 01 Nov 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 45 97 0 27 Sep 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 20 168 0 11 Apr 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks Yinghua Gao Dongxian Wu Jingfeng Zhang Guanhao Gan Shutao Xia Gang Niu Masashi Sugiyama AAML 32 22 0 22 Feb 2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks Mingfu Xue S. Ni Ying-Chang Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 32 13 0 31 Jan 2022
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi Hamid Kazemi Steven Reich Chen Zhu Micah Goldblum Tom Goldstein 37 15 0 31 Jan 2022
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 23 131 0 21 Jun 2021
Robust Backdoor Attacks against Deep Neural Networks in Real Physical World Mingfu Xue Can He Shichang Sun Jian Wang Weiqiang Liu AAML 31 43 0 15 Apr 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 139 190 0 13 Jan 2021