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A Systematic Review on Model Watermarking for Neural Networks

Frontiers in Big Data (Front. Big Data), 2020

25 September 2020

Franziska Boenisch

AAML

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Papers citing "A Systematic Review on Model Watermarking for Neural Networks"

44 / 44 papers shown

Title
Watermarking Large Language Models in Europe: Interpreting the AI Act in Light of Technology Thomas Souverain 72 0 0 05 Nov 2025
Provable Watermarking for Data Poisoning Attacks Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 123 0 0 10 Oct 2025
Integrating Bayesian methods with neural network--based model predictive control: a review Asli Karacelik 112 0 0 06 Oct 2025
Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs Marcin Chrapek Marcin Copik Etienne Mettaz Torsten Hoefler 56 0 0 23 Sep 2025
Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends Zhenhua Xu Xubin Yue Zhebo Wang Qichen Liu Xixiang Zhao ... Wenjun Zeng Wengpeng Xing Dezhang Kong C. D. Lin Meng Han AILaw WaLM 222 8 0 15 Aug 2025
Staining and locking computer vision models without retraining Oliver J. Sutton Qinghua Zhou George Leete A. Gorban I. Tyukin WIGM AAML VLM 220 1 0 29 Jul 2025
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction Peilin He James Joshi 181 0 0 30 Jun 2025
A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks Junhua Lin Marc Juarez 246 1 0 12 Jun 2025
On-Device Watermarking: A Socio-Technical Imperative For Authenticity In The Age of Generative AI Houssam Kherraz 292 0 0 15 Apr 2025
Security and Real-time FPGA integration for Learned Image Compression Alaa Mazouz Carl De Sousa Tria Sumanta Chaudhuri Attilio Fiandrotti Marco Cagnanzzo Mihai P. Mitrea Enzo Tartaglione 323 2 0 06 Mar 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Siyang Song 475 4 0 26 Feb 2025
HuRef: HUman-REadable Fingerprint for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023 Boyi Zeng Cheng Zhou Yuncong Hu Yi Xu Chenghu Zhou Xiang Wang Yu Yu Zhouhan Lin 317 26 0 08 Jan 2025
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models Yinpeng Cai Lexin Li Linjun Zhang 888 3 0 05 Jan 2025
Towards Data Governance of Frontier AI Models Jason Hausenloy Duncan McClements Madhavendra Thakur 378 2 0 05 Dec 2024
Watermarking Large Language Models and the Generated Content: Opportunities and ChallengesAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024 Ruisi Zhang F. Koushanfar WaLM 249 3 0 24 Oct 2024
Fortify Your Foundations: Practical Privacy and Security for Foundation Model Deployments In The Cloud Marcin Chrapek Anjo Vahldiek-Oberwagner Marcin Spoczynski Scott Constable Mona Vij Torsten Hoefler 246 4 0 08 Oct 2024
Watermarking Decision Tree EnsemblesInternational Conference on Extending Database Technology (EDBT), 2024 Stefano Calzavara Lorenzo Cazzaro Donald Gera S. Orlando WaLM 99 0 0 06 Oct 2024
Trigger-Based Fragile Model Watermarking for Image Transformation Networks Preston K. Robinette Dung T. Nguyen Samuel Sasaki Taylor T. Johnson WIGM 146 0 0 28 Sep 2024
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective Aoting Hu Yanzhi Chen Renjie Xie Adrian Weller 207 2 0 10 Sep 2024
Watermarking Techniques for Large Language Models: A Survey Yuqing Liang Jiancheng Xiao Wensheng Gan Philip S. Yu OffRL 320 19 0 26 Aug 2024
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics Ivan A. Fernandez Subash Neupane Trisha Chakraborty Shaswata Mitra Sudip Mittal Nisha Pillai Jingdao Chen Shahram Rahimi 281 3 0 27 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 302 3 0 07 Jun 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents Chen Gong Kecen Li Jin Yao Tianhao Wang OnRL 163 2 0 18 Apr 2024
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning Shen Li Liuyi Yao Jinyang Gao Lan Zhang Yaliang Li 462 24 0 22 Feb 2024
Train ñ Trade: Foundations of Parameter MarketsNeural Information Processing Systems (NeurIPS), 2023 Tzu-Heng Huang Harit Vishwakarma Frederic Sala AIFin 163 3 0 07 Dec 2023
Survey of Security Issues in Memristor-based Machine Learning Accelerators for RF Analysis William Lillis Max Cohen Hoffing Wayne Burleson 163 3 0 01 Dec 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023 Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 428 353 0 30 Oct 2023
ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training T. Krauß Jasper Stang Alexandra Dmitrienko AAML 210 0 0 25 Oct 2023
From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model QueryingProceedings of the VLDB Endowment (PVLDB), 2023 Biao Wu Qiang Huang Anthony K. H. Tung 148 0 0 06 Oct 2023
Unbiased Watermark for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Zhengmian Hu Lichang Chen Xidong Wu Yihan Wu Hongyang R. Zhang Heng-Chiao Huang WaLM 268 87 0 22 Sep 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 277 12 0 06 Sep 2023
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property ProtectionMachine Learning and Knowledge Extraction (MLKE), 2023 Mohammed Lansari Reda Bellafqira K. Kapusta V. Thouvenot Olivier Bettan Reda Bellafqira FedML 115 28 0 07 Aug 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time SeriesNeural Information Processing Systems (NeurIPS), 2023 Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 271 22 0 19 May 2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor WatermarkAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Wenjun Peng Jingwei Yi Fangzhao Wu Shangxi Wu Bin Zhu Lingjuan Lyu Binxing Jiao Tongye Xu Guangzhong Sun Xing Xie WaLM 334 88 0 17 May 2023
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and AttacksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Isabell Lederer Rudolf Mayer Andreas Rauber 228 29 0 22 Apr 2023
False Claims against Model Ownership ResolutionUSENIX Security Symposium (USENIX Security), 2023 Jian Liu Rui Zhang S. Szyller Kui Ren Nirmal Asokan AAML MLAU 601 16 0 13 Apr 2023
FedRight: An Effective Model Copyright Protection for Federated LearningComputers & security (Comput. Secur.), 2023 Jinyin Chen Mingjun Li Mingjun Li Haibin Zheng FedML 111 26 0 18 Mar 2023
The Gradient of Generative AI Release: Methods and ConsiderationsConference on Fairness, Accountability and Transparency (FAccT), 2023 Irene Solaiman 166 125 0 05 Feb 2023
A Watermark for Large Language ModelsInternational Conference on Machine Learning (ICML), 2023 John Kirchenbauer Jonas Geiping Yuxin Wen Jonathan Katz Ian Miers Tom Goldstein VLM WaLM 533 702 0 24 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 188 5 0 18 Jan 2023
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks Reda Bellafqira Reda Bellafqira 215 7 0 27 Oct 2022
Dataset Inference for Self-Supervised ModelsNeural Information Processing Systems (NeurIPS), 2022 Adam Dziedzic Haonan Duan Muhammad Ahmad Kaleem Nikita Dhawan Jonas Guan Yannis Cattan Franziska Boenisch Nicolas Papernot 356 41 0 16 Sep 2022
Watermarking Graph Neural Networks based on Backdoor AttacksEuropean Symposium on Security and Privacy (EuroS&P), 2021 Jing Xu Stefanos Koffas Oguzhan Ersoy S. Picek AAML 253 37 0 21 Oct 2021
Cryptanalytic Extraction of Neural Network ModelsAnnual International Cryptology Conference (CRYPTO), 2020 Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 411 151 0 10 Mar 2020