IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary

28 October 2019

Papers citing "IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary"

22 / 22 papers shown

Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 46 0 0 08 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 42 0 0 15 Apr 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Zhan Qin Kui Ren 194 0 0 28 Jan 2025
ModelLock: Locking Your Model With a Spell Yifeng Gao Yuhua Sun Xingjun Ma Zuxuan Wu Yu-Gang Jiang VLM 50 1 0 25 May 2024
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 27 0 0 05 Oct 2023
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network Zi-Shun Huang Boheng Li Yan Cai Run Wang Shangwei Guo Liming Fang Jing Chen Lina Wang 38 11 0 29 Jul 2023
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Isabell Lederer Rudolf Mayer Andreas Rauber 29 19 0 22 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks Jiyang Guan Jian Liang Ran He AAML MLAU 50 29 0 21 Oct 2022
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features Mingfu Xue Xin Wang Ying-Chang Wu S. Ni Yushu Zhang Weiqiang Liu 24 2 0 14 Oct 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 59 5 0 30 May 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 73 46 0 25 May 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 31 66 0 17 Feb 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 21 53 0 27 Jan 2022
Watermarking Pre-trained Encoders in Contrastive Learning Yutong Wu Han Qiu Tianwei Zhang L. Jiwei M. Qiu 33 9 0 20 Jan 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 24 23 0 19 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 16 25 0 15 Jan 2022
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time Tian Dong Han Qiu Tianwei Zhang Jiwei Li Hewu Li Jialiang Lu AAML 39 8 0 07 Oct 2021
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Sahar Abdelnabi Mario Fritz WaLM 28 89 0 07 Sep 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 33 144 0 02 Dec 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks Tianhao Wang Florian Kerschbaum AAML 19 36 0 31 Oct 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 293 5,842 0 08 Jul 2016