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How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN
Asia-Pacific Computer Systems Architecture Conference (APCSAC), 2019
5 March 2019
Zheng Li
Chengyu Hu
Yang Zhang
Shanqing Guo
AAML
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Papers citing
"How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN"
28 / 78 papers shown
Title
PCPT and ACPT: Copyright Protection and Traceability Scheme for DNN Models
Journal of Information Security and Applications (JISA), 2022
Xuefeng Fan
Dahao Fu
Hangyu Gui
Xinpeng Zhang
Xiaoyi Zhou
162
5
0
06 Jun 2022
Integrity Authentication in Tree Models
Knowledge Discovery and Data Mining (KDD), 2022
Weijie Zhao
Yingjie Lao
Ping Li
226
5
0
30 May 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Conference on Computer and Communications Security (CCS), 2022
Tianshuo Cong
Xinlei He
Yang Zhang
288
64
0
27 Jan 2022
Watermarking Pre-trained Encoders in Contrastive Learning
International Conference on Data Intelligence and Security (ICDIS), 2022
Yutong Wu
Han Qiu
Tianwei Zhang
L. Jiwei
M. Qiu
113
15
0
20 Jan 2022
Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Fangqi Li
Shi-Lin Wang
Yun Zhu
94
13
0
28 Dec 2021
Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition
Haozhe Chen
Weiming Zhang
Kunlin Liu
Kejiang Chen
Han Fang
Nenghai Yu
76
4
0
19 Oct 2021
Membership Inference Attacks Against Recommender Systems
Minxing Zhang
Zhaochun Ren
Zihan Wang
Sudipta Singha Roy
Zhumin Chen
Pengfei Hu
Yang Zhang
MIACV
AAML
150
112
0
16 Sep 2021
Fingerprinting Image-to-Image Generative Adversarial Networks
European Symposium on Security and Privacy (EuroS&P), 2021
Guanlin Li
Guowen Xu
Han Qiu
Shangwei Guo
Run Wang
Jiwei Li
Tianwei Zhang
Rongxing Lu
WIGM
151
0
0
19 Jun 2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021
Suyoung Lee
Wonho Song
Suman Jana
M. Cha
Sooel Son
AAML
139
17
0
18 Jun 2021
iNNformant: Boundary Samples as Telltale Watermarks
Information Hiding and Multimedia Security Workshop (IH&MMSec), 2021
Alexander Schlögl
Tobias Kupek
Rainer Böhme
AAML
93
2
0
14 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
International Conference on Learning Representations (ICLR), 2021
Lixu Wang
Shichao Xu
Ruiqi Xu
Tianlin Li
Qi Zhu
AAML
197
56
0
13 Jun 2021
Towards Practical Watermark for Deep Neural Networks in Federated Learning
Fangqi Li
Shi-Lin Wang
Alan Wee-Chung Liew
FedML
133
16
0
07 May 2021
HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
Peizhuo Lv
Pan Li
Shengzhi Zhang
Kai Chen
Ruigang Liang
Yue Zhao
Yingjiu Li
AAML
124
8
0
25 Mar 2021
A survey of deep neural network watermarking techniques
Neurocomputing (Neurocomputing), 2021
Yue Li
Hongxia Wang
Mauro Barni
179
179
0
16 Mar 2021
Ownership Verification of DNN Architectures via Hardware Cache Side Channels
Xiaoxuan Lou
Shangwei Guo
Jiwei Li
Tianwei Zhang
127
12
0
06 Feb 2021
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Mingfu Xue
Yushu Zhang
Jian Wang
Weiqiang Liu
185
65
0
27 Nov 2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Maoqiang Wu
Xinyue Zhang
Jiahao Ding
H. Nguyen
Rong Yu
Miao Pan
Stephen T. C. Wong
MIACV
113
21
0
31 Oct 2020
A Systematic Review on Model Watermarking for Neural Networks
Frontiers in Big Data (Front. Big Data), 2020
Franziska Boenisch
AAML
205
89
0
25 Sep 2020
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Shangwei Guo
Tianwei Zhang
Han Qiu
Yi Zeng
Tao Xiang
Yang Liu
AAML
144
37
0
18 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
IEEE Symposium on Security and Privacy (IEEE S&P), 2020
Sahar Abdelnabi
Mario Fritz
WaLM
208
181
0
07 Sep 2020
Membership Leakage in Label-Only Exposures
Conference on Computer and Communications Security (CCS), 2020
Zheng Li
Yang Zhang
216
286
0
30 Jul 2020
When Machine Unlearning Jeopardizes Privacy
Conference on Computer and Communications Security (CCS), 2020
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MIACV
204
279
0
05 May 2020
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks
William Aiken
Hyoungshick Kim
Simon S. Woo
106
71
0
22 Apr 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
International Conference on Learning Representations (ICLR), 2019
Nils Lukas
Yuxuan Zhang
Florian Kerschbaum
MLAU
FedML
AAML
307
167
0
02 Dec 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks
Tianhao Wang
Florian Kerschbaum
AAML
215
39
0
31 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
194
128
0
28 Oct 2019
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
Masoumeh Shafieinejad
Jiaqi Wang
Nils Lukas
Xinda Li
Florian Kerschbaum
AAML
124
8
0
18 Jun 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
A. Salem
Apratim Bhattacharyya
Michael Backes
Mario Fritz
Yang Zhang
FedML
AAML
MIACV
224
277
0
01 Apr 2019
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