v1v2v3 (latest)

Dataset Inference for Self-Supervised Models

Neural Information Processing Systems (NeurIPS), 2022

16 September 2022

Adam Dziedzic

Haonan Duan

Muhammad Ahmad Kaleem

Papers citing "Dataset Inference for Self-Supervised Models"

26 / 26 papers shown

Title
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking Wenyuan Yang Yichen Sun Changzheng Chen Zhixuan Chu Jiaheng Zhang Yiming Li Dacheng Tao AAML 48 0 0 05 Nov 2025
Dataset Ownership in the Era of Large Language Models Kun Li Cheng Wang Minghui Xu Yue J. Zhang Xiuzhen Cheng AILaw 115 0 0 07 Sep 2025
Evading Data Provenance in Deep Neural Networks Hongyu Zhu Sichu Liang Wenwen Wang Zhuomeng Zhang Fangqi Li Shi-Lin Wang AAML 223 0 0 01 Aug 2025
DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective Shuo Shao Yiming Li Mengren Zheng Zhiyang Hu Yukun Chen Boheng Li Yexiao He Junfeng Guo D. Tao Zhan Qin AAML 210 6 0 08 Jul 2025
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs Xun Wang Jing Xu Franziska Boenisch Michael Backes Christopher A. Choquette-Choo Adam Dziedzic AAML 170 0 0 19 Jun 2025
Unlocking Post-hoc Dataset Inference with Synthetic Data Bihe Zhao Pratyush Maini Franziska Boenisch Adam Dziedzic 139 4 0 18 Jun 2025
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 392 1 0 15 May 2025
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset UsageAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Weinan Zhang Ju Jia Yang Liu Yihao Huang Xuzhao Li Cong Wu Lina Wang AAML 212 1 0 15 Apr 2025
CDI: Copyrighted Data Identification in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024 Jan Dubiñski Antoni Kowalczuk Franziska Boenisch Adam Dziedzic 316 5 0 19 Nov 2024
SoK: Dataset Copyright Auditing in Machine Learning SystemsIEEE Symposium on Security and Privacy (S&P), 2024 L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 358 13 0 22 Oct 2024
Ward: Provable RAG Dataset Inference via LLM WatermarksInternational Conference on Learning Representations (ICLR), 2024 Nikola Jovanović Robin Staab Maximilian Baader Martin Vechev 856 11 0 04 Oct 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Haiyan Zhao AAML MIACV SILM 548 0 0 05 Aug 2024
LLM Dataset Inference: Did you train on my dataset? Pratyush Maini Hengrui Jia Nicolas Papernot Adam Dziedzic MIALM 400 82 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 161 6 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 194 30 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 172 0 0 07 May 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware CapabilityConference on Computer and Communications Security (CCS), 2024 Jie Zhu Jirong Zha Ding Li Leye Wang 258 10 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 230 7 0 22 Jan 2024
Bucks for Buckets (B4B): Active Defenses Against Stealing EncodersNeural Information Processing Systems (NeurIPS), 2023 Jan Dubiñski Stanislaw Pawlak Franziska Boenisch Tomasz Trzciñski Adam Dziedzic AAML 237 8 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 233 0 0 05 Oct 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement LearningNetwork and Distributed System Security Symposium (NDSS), 2023 L. Du Min Chen Mingyang Sun Shouling Ji Peng Cheng Jiming Chen Zhikun Zhang OffRL 265 11 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 262 1 0 09 Aug 2023
PromptCARE: Prompt Copyright Protection by Watermark Injection and VerificationIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Hongwei Yao Jian Lou Kui Ren Zhan Qin AAML VLM 306 40 0 05 Aug 2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion IndexIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Hongwei Yao Zheng Li Haiqin Weng Feng Xue Kui Ren Zhan Qin 224 5 0 20 Jun 2023
Ownership Protection of Generative Adversarial Networks Hailong Hu Jun Pang AAML 208 1 0 08 Jun 2023
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image EncodersComputer Vision and Pattern Recognition (CVPR), 2022 Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 310 44 0 19 Jan 2022