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Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations

27 November 2020

Papers citing "Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations"

34 / 34 papers shown

Title
Detect and remove watermark in deep neural networks via generative adversarial networks Haoqi Wang Mingfu Xue Shichang Sun Yushu Zhang Jian Wang Weiqiang Liu AAML 48 12 0 15 Jun 2021
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption Mingfu Xue Zhiyu Wu Jian Wang Yushu Zhang Weiqiang Liu AAML 38 28 0 28 May 2021
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication Xiquan Guan Huamin Feng Weiming Zhang Hang Zhou Jie Zhang Nenghai Yu AAML 46 60 0 09 Apr 2021
ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples Mingfu Xue Shichang Sun Can He Yushu Zhang Jian Wang Weiqiang Liu AAML 75 8 0 02 Mar 2021
Passport-aware Normalization for Deep Model Protection Jie Zhang Dongdong Chen Jing Liao Weiming Zhang G. Hua Nenghai Yu AAML 51 71 0 29 Oct 2020
Deep-Lock: Secure Authorization for Deep Neural Networks Manaar Alam Sayandeep Saha Debdeep Mukhopadhyay S. Kundu 46 21 0 13 Aug 2020
Training DNN Model with Secret Key for Model Protection April Pyone Maung Maung Hitoshi Kiya 43 24 0 06 Aug 2020
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data Xuankai Liu Fengting Li Bihan Wen Qi Li AAML 61 61 0 02 Aug 2020
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks William Aiken Hyoungshick Kim Simon S. Woo 32 64 0 22 Apr 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
Model Watermarking for Image Processing Networks Jie Zhang Dongdong Chen Jing Liao Han Fang Weiming Zhang Wenbo Zhou Hao Cui Nenghai Yu WIGM AAML 78 132 0 25 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
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 D. Song AAML 74 108 0 17 Nov 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks Tianhao Wang Florian Kerschbaum AAML 61 36 0 31 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong 73 107 0 28 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
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection L. Gomez M. Wilhelm José Márquez Patrick Duverger 35 9 0 09 Jul 2019
MimosaNet: An Unrobust Neural Network Preventing Model Stealing Kálmán Szentannai Jalal Al-Afandi A. Horváth AAML 37 12 0 02 Jul 2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 103 33 0 14 Jun 2019
Evolutionary Trigger Set Generation for DNN Black-Box Watermarking Jiabao Guo M. Potkonjak AAML WIGM 51 15 0 11 Jun 2019
DAWN: Dynamic Adversarial Watermarking of Neural Networks S. Szyller B. Atli Samuel Marchal Nadarajah Asokan MLAU AAML 51 179 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 55 172 0 05 Mar 2019
Robust Watermarking of Neural Network with Exponential Weighting Ryota Namba Jun Sakuma AAML 66 138 0 18 Jan 2019
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno D. Song AAML 92 469 0 20 Jul 2018
PRADA: Protecting against DNN Model Stealing Attacks Mika Juuti S. Szyller Samuel Marchal Nadarajah Asokan SILM AAML 68 442 0 07 May 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet 61 679 0 13 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 57 144 0 06 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 143 1,840 0 15 Dec 2017
Adversarial Frontier Stitching for Remote Neural Network Watermarking Erwan Le Merrer P. Pérez Gilles Trédan MLAU AAML 76 338 0 06 Nov 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 70 516 0 22 Sep 2017
Embedding Watermarks into Deep Neural Networks Yusuke Uchida Yuki Nagai S. Sakazawa Shiníchi Satoh 122 609 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
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014