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A Systematic Review on Model Watermarking for Neural Networks

25 September 2020

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

44 / 44 papers shown

Title
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Siyang Song 206 1 0 26 Feb 2025
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 89 2 0 07 Jun 2024
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks Reda Bellafqira Gouenou Coatrieux 72 6 0 27 Oct 2022
A survey of deep neural network watermarking techniques Yue Li Hongxia Wang Mauro Barni 110 146 0 16 Mar 2021
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack Ding Sheng Ong Chee Seng Chan KamWoh Ng Lixin Fan Qiang Yang AAML 37 72 0 08 Feb 2021
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data Xuankai Liu Fengting Li Bihan Wen Qi Li AAML 63 61 0 02 Aug 2020
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks William Aiken Hyoungshick Kim Simon S. Woo 38 64 0 22 Apr 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 130 135 0 10 Mar 2020
Entangled Watermarks as a Defense against Model Extraction Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 77 220 0 27 Feb 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 64 145 0 02 Dec 2019
A novel method for identifying the deep neural network model with the Serial Number Xiangrui Xu Yaqin Li Cao Yuan AAML 36 8 0 19 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Yue Liu Basel Alomair AAML 74 108 0 17 Nov 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks Tianhao Wang Florian Kerschbaum AAML 70 36 0 31 Oct 2019
[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks Lixin Fan Kam Woh Ng Chee Seng Chan AAML 50 192 0 16 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks Matthew Jagielski Nicholas Carlini David Berthelot Alexey Kurakin Nicolas Papernot MLAU MIACV 81 379 0 03 Sep 2019
MimosaNet: An Unrobust Neural Network Preventing Model Stealing Kálmán Szentannai Jalal Al-Afandi A. Horváth AAML 45 12 0 02 Jul 2019
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks Tribhuvanesh Orekondy Bernt Schiele Mario Fritz AAML 52 165 0 26 Jun 2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 103 33 0 14 Jun 2019
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies Vahid Behzadan W. Hsu OffRL 59 20 0 03 Jun 2019
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks Huili Chen B. Rouhani F. Koushanfar 51 52 0 31 Mar 2019
How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN Zheng Li Chengyu Hu Yang Zhang Shanqing Guo AAML 55 173 0 05 Mar 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss Nicholas Frosst Nicolas Papernot Geoffrey E. Hinton 52 160 0 05 Feb 2019
Robust Watermarking of Neural Network with Exponential Weighting Ryota Namba Jun Sakuma AAML 66 138 0 18 Jan 2019
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information L. Batina S. Bhasin Dirmanto Jap S. Picek AAML 44 65 0 22 Oct 2018
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques Dorjan Hitaj L. Mancini AAML 67 53 0 03 Sep 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 80 234 0 13 Aug 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 66 1,039 0 30 May 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models B. Rouhani Huili Chen F. Koushanfar 101 48 0 02 Apr 2018
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators Lingxiao Wei Bo Luo Yu LI Yannan Liu Qiang Xu FedML 48 202 0 05 Mar 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet 63 679 0 13 Feb 2018
Model Extraction Warning in MLaaS Paradigm M. Kesarwani B. Mukhoty Vijay Arya S. Mehta MLAU 47 141 0 20 Nov 2017
Adversarial Frontier Stitching for Remote Neural Network Watermarking Erwan Le Merrer P. Pérez Gilles Trédan MLAU AAML 76 339 0 06 Nov 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 70 518 0 22 Sep 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 227 2,529 0 02 Jun 2017
DeepSecure: Scalable Provably-Secure Deep Learning B. Rouhani M. Riazi F. Koushanfar FedML 52 415 0 24 May 2017
Embedding Watermarks into Deep Neural Networks Yusuke Uchida Yuki Nagai S. Sakazawa Shiníchi Satoh 122 610 0 15 Jan 2017
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 107 1,807 0 09 Sep 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 127 2,459 0 04 Feb 2016
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 113 3,077 0 14 Nov 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 163 1,191 0 19 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,723 0 09 Mar 2015
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 130 1,465 0 15 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 157 4,945 0 23 Mar 2014
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers G. Ateniese G. Felici L. Mancini A. Spognardi Antonio Villani Domenico Vitali 84 462 0 19 Jun 2013