Backdoor Attacks on Self-Supervised Learning

Backdoor Attacks on Self-Supervised Learning

21 May 2021

Ajinkya Tejankar

Soroush Abbasi Koohpayegani

Hamed Pirsiavash

Papers citing "Backdoor Attacks on Self-Supervised Learning"

19 / 19 papers shown

Title
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting Tianya Zhao Ningning Wang Junqing Zhang Xuyu Wang AAML 45 0 0 01 May 2025
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models Zhaoyi Liu Huan Zhang AAML 75 0 0 25 Feb 2025
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders Sizai Hou Songze Li Duanyi Yao AAML 72 0 0 25 Nov 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures Xinheng Xie Kureha Yamaguchi Margaux Leblanc Simon Malzard Varun Chhabra Victoria Nockles Yue-bo Wu AAML 37 0 0 08 Sep 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models Hongbin Liu Michael K. Reiter Neil Zhenqiang Gong AAML 28 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 34 6 0 14 Dec 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 29 21 0 24 May 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation Xuanli He Qiongkai Xu Jun Wang Benjamin I. P. Rubinstein Trevor Cohn AAML 26 18 0 19 May 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 28 19 0 04 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 42 0 06 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 24 35 0 22 Feb 2023
Backdoor Cleansing with Unlabeled Data Lu Pang Tao Sun Haibin Ling Chao Chen AAML 37 18 0 22 Nov 2022
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning Jinghuai Zhang Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong AAML 33 20 0 15 Nov 2022
Backdoor Attacks on Vision Transformers Akshayvarun Subramanya Aniruddha Saha Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash ViT AAML 8 16 0 16 Jun 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 28 32 0 22 Feb 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 19 185 0 05 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 10 156 0 17 Jun 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020