BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

1 August 2021

Papers citing "BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning"

32 / 32 papers shown

Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 34 0 0 08 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 43 0 0 01 May 2025
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders Sizai Hou Songze Li Duanyi Yao AAML 70 0 0 25 Nov 2024
Backdooring Vision-Language Models with Out-Of-Distribution Data Weimin Lyu Jiachen Yao Saumya Gupta Lu Pang Tao Sun Lingjie Yi Lijie Hu Haibin Ling Chao Chen VLM AAML 57 2 0 02 Oct 2024
Membership Inference Attack Against Masked Image Modeling Z. Li Xinlei He Ning Yu Yang Zhang 40 1 0 13 Aug 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models Hongbin Liu Michael K. Reiter Neil Zhenqiang Gong AAML 26 2 0 22 Feb 2024
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 32 6 0 14 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 53 3 0 20 Nov 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 24 8 0 22 Aug 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 32 11 0 13 Jun 2023
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models Kai Mei Zheng Li Zhenting Wang Yang Zhang Shiqing Ma AAML SILM 19 48 0 28 May 2023
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning Shengfang Zhai Yinpeng Dong Qingni Shen Shih-Chieh Pu Yuejian Fang Hang Su 30 70 0 07 May 2023
Defense-Prefix for Preventing Typographic Attacks on CLIP Hiroki Azuma Yusuke Matsui VLM AAML 18 16 0 10 Apr 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal Nishad Singhi Yu Yang Fan Yin Aditya Grover Kai-Wei Chang AAML 29 41 0 06 Mar 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 22 31 0 20 Feb 2023
Backdoor Attacks to Pre-trained Unified Foundation Models Zenghui Yuan Yixin Liu Kai Zhang Pan Zhou Lichao Sun AAML 22 10 0 18 Feb 2023
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SILM AAML 21 4 0 07 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 24 27 0 03 Jan 2023
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 8 33 0 18 Dec 2022
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning Jinghuai Zhang Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong AAML 23 20 0 15 Nov 2022
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy Wenqiang Ruan Ming Xu Wenjing Fang Li Wang Lei Wang Wei Han 27 12 0 18 Aug 2022
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning Tianxing Zhang Hanzhou Wu Xiaofeng Lu Guangling Sun AAML 18 4 0 08 Aug 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 25 34 0 13 May 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 14 5 0 20 Apr 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 26 32 0 22 Feb 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 11 184 0 05 Feb 2022
Watermarking Pre-trained Encoders in Contrastive Learning Yutong Wu Han Qiu Tianwei Zhang L. Jiwei M. Qiu 18 9 0 20 Jan 2022
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 14 75 0 09 Dec 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training J. Breier Xiaolu Hou Martín Ochoa Jesus Solano SILM AAML 31 8 0 23 Sep 2021
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 16 269 0 07 Mar 2020
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 123 186 0 02 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 286 0 02 Dec 2018