Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models

22 February 2024

Papers citing "Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models"

23 / 23 papers shown

Title
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models Rui Zhu Di Tang Siyuan Tang Xiaofeng Wang Haixu Tang AAML FedML 88 13 0 09 Dec 2022
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning Jinghuai Zhang Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong AAML 65 21 0 15 Nov 2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks Ganqu Cui Lifan Yuan Bingxiang He Yangyi Chen Zhiyuan Liu Maosong Sun AAML ELM SILM 50 72 0 17 Jun 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 61 36 0 13 May 2022
Backdoor Defense with Machine Unlearning Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 72 75 0 24 Jan 2022
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 93 159 0 01 Aug 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 58 166 0 17 Jun 2021
Backdoor Attacks on Self-Supervised Learning Aniruddha Saha Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL AAML 50 109 0 21 May 2021
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks Jinyuan Jia Yupei Liu Xiaoyu Cao Neil Zhenqiang Gong AAML 77 74 0 07 Dec 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 64 216 0 19 Jun 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 486 3,433 0 09 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 122 276 0 07 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 369 18,778 0 13 Feb 2020
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,840 0 15 Dec 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,772 0 22 Aug 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,023 0 07 Oct 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 328 2,876 0 26 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,672 0 21 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 277 14,927 1 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,308 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013