Dataset Inference for Self-Supervised Models

16 September 2022

Adam Dziedzic

Haonan Duan

Muhammad Ahmad Kaleem

Papers citing "Dataset Inference for Self-Supervised Models"

23 / 23 papers shown

Title
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 31 0 0 15 May 2025
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage Wenbo Zhang Ju Jia Xiaojun Jia Yihao Huang Xuzhao Li Cong Wu Lina Wang AAML 38 0 0 15 Apr 2025
CDI: Copyrighted Data Identification in Diffusion Models Jan Dubiñski Antoni Kowalczuk Franziska Boenisch Adam Dziedzic 72 1 0 19 Nov 2024
SoK: Dataset Copyright Auditing in Machine Learning Systems L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 21 3 0 22 Oct 2024
Ward: Provable RAG Dataset Inference via LLM Watermarks Nikola Jovanović Robin Staab Maximilian Baader Martin Vechev 145 1 0 04 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 59 0 0 05 Aug 2024
LLM Dataset Inference: Did you train on my dataset? Pratyush Maini Hengrui Jia Nicolas Papernot Adam Dziedzic MIALM 48 28 0 10 Jun 2024
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark Huali Ren Anli Yan Chong-zhi Gao Hongyang Yan Zhenxin Zhang Jin Li VLM AAML 32 4 0 24 May 2024
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution Shuo Shao Yiming Li Hongwei Yao Yiling He Zhan Qin Kui Ren 32 14 0 08 May 2024
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model Tianxiu Xie Keke Gai Jing Yu Liehuang Zhu Kim-Kwang Raymond Choo 29 0 0 07 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
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 27 3 0 22 Jan 2024
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
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor Xingdong Ren Tianxing Zhang Hanzhou Wu Xinpeng Zhang Yinggui Wang Guangling Sun LLMSV 19 0 0 05 Oct 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning L. Du Min Chen Mingyang Sun Shouling Ji Peng Cheng Jiming Chen Zhikun Zhang OffRL 37 8 0 06 Sep 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 20 0 0 09 Aug 2023
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification Hongwei Yao Jian Lou Kui Ren Zhan Qin AAML VLM 34 25 0 05 Aug 2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index Hongwei Yao Zheng Li Haiqin Weng Feng Xue Kui Ren Zhan Qin 18 4 0 20 Jun 2023
Ownership Protection of Generative Adversarial Networks Hailong Hu Jun Pang AAML 13 1 0 08 Jun 2023
On the Difficulty of Defending Self-Supervised Learning against Model Extraction Adam Dziedzic Nikita Dhawan Muhammad Ahmad Kaleem Jonas Guan Nicolas Papernot MIACV 51 22 0 16 May 2022
Increasing the Cost of Model Extraction with Calibrated Proof of Work Adam Dziedzic Muhammad Ahmad Kaleem Y. Lu Nicolas Papernot FedML MIACV AAML MLAU 63 28 0 23 Jan 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
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 69 104 0 21 Apr 2021