Defending Against Patch-based Backdoor Attacks on Self-Supervised
Learning

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning

4 April 2023

Ajinkya Tejankar

Sinong Wang

Hamed Pirsiavash

Papers citing "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"

18 / 18 papers shown

Title
Analysing the Robustness of Vision-Language-Models to Common Corruptions Muhammad Usama Syeda Aishah Asim Syed Bilal Ali Syed Talal Wasim Umair Bin Mansoor VLM 36 0 0 18 Apr 2025
Prototype Guided Backdoor Defense Venkat Adithya Amula Sunayana Samavedam Saurabh Saini Avani Gupta Narayanan P J AAML 47 0 0 26 Mar 2025
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers Zeyu Michael Li AAML 21 0 0 01 Oct 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Di Wang AAML MIACV SILM 50 0 0 05 Aug 2024
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning Huan Bao Kaimin Wei Yongdong Wu Jin Qian Robert H. Deng 41 0 0 22 Apr 2024
How to Craft Backdoors with Unlabeled Data Alone? Yifei Wang Wenhan Ma Stefanie Jegelka Yisen Wang SyDa 21 0 0 10 Apr 2024
Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors Md Abdul Kadir G. Addluri Daniel Sonntag AAML 44 0 0 25 Mar 2024
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking Shengsheng Qian Yifei Wang Dizhan Xue Shengjie Zhang Huaiwen Zhang Changsheng Xu AAML 39 1 0 13 Dec 2023
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning Siyuan Liang Mingli Zhu Aishan Liu Baoyuan Wu Xiaochun Cao Ee-Chien Chang 32 50 0 20 Nov 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 58 0 0 16 Nov 2023
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning Qiannan Wang Changchun Yin Zhe Liu Liming Fang Run Wang Chenhao Lin AAML 24 4 0 01 Oct 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 29 81 0 19 May 2023
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning Mengxin Zheng Jiaqi Xue Zihao Wang Xun Chen Qian Lou Lei Jiang XiaoFeng Wang 26 11 0 16 Mar 2023
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
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
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 264 3,369 0 09 Mar 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
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 296 39,194 0 01 Sep 2014