StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning

StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning

15 January 2022

Neil Zhenqiang Gong

Papers citing "StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning"

17 / 17 papers shown

Title
Examining the Threat Landscape: Foundation Models and Model Stealing Ankita Raj Deepankar Varma Chetan Arora AAML 76 1 0 25 Feb 2025
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 59 0 0 05 Aug 2024
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack Kaiyi Pang Tao Qi Chuhan Wu Minhao Bai Minghu Jiang Yongfeng Huang AAML WaLM 72 2 0 03 May 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 37 6 0 03 Apr 2024
MEA-Defender: A Robust Watermark against Model Extraction Attack Peizhuo Lv Hualong Ma Kai Chen Jiachen Zhou Shengzhi Zhang Ruigang Liang Shenchen Zhu Pan Li Yingjun Zhang MIACV AAML 36 8 0 26 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 29 3 0 22 Jan 2024
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction Shuchi Wu Chuan Ma Kang Wei Xiaogang Xu Ming Ding Yuwen Qian Tao Xiang 15 0 0 01 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 63 3 0 20 Nov 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders Jan Dubiñski Stanislaw Pawlak Franziska Boenisch Tomasz Trzciñski Adam Dziedzic AAML 29 3 0 12 Oct 2023
SSL-Auth: An Authentication Framework by Fragile Watermarking for Pre-trained Encoders in Self-supervised Learning Xiaobei Li Changchun Yin Liyue Zhu Xiaogang Xu Liming Fang Run Wang Chenhao Lin AAML 25 0 0 09 Aug 2023
Extracting Cloud-based Model with Prior Knowledge Songtao Zhao Kangjie Chen Meng Hao Jian Zhang Guowen Xu Hongwei Li Tianwei Zhang AAML MIACV SILM MLAU SLR 36 5 0 07 Jun 2023
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SILM AAML 34 4 0 07 Jan 2023
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 39 106 0 16 Jun 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 25 34 0 19 Jan 2022
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,815 0 14 Dec 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 63 168 0 05 May 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 72 134 0 10 Mar 2020