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How to Prove Your Model Belongs to You: A Blind-Watermark based
  Framework to Protect Intellectual Property of DNN

How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN

5 March 2019
Zheng Li
Chengyu Hu
Yang Zhang
Shanqing Guo
    AAML
ArXivPDFHTML

Papers citing "How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN"

21 / 21 papers shown
Title
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
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
AAML
378
0
0
26 Jan 2025
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks
Reda Bellafqira
Gouenou Coatrieux
62
6
0
27 Oct 2022
Robust Watermarking of Neural Network with Exponential Weighting
Robust Watermarking of Neural Network with Exponential Weighting
Ryota Namba
Jun Sakuma
AAML
57
137
0
18 Jan 2019
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network
  Watermarking Techniques
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
Dorjan Hitaj
L. Mancini
AAML
48
54
0
03 Sep 2018
HiDDeN: Hiding Data With Deep Networks
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu
Russell Kaplan
Justin Johnson
Li Fei-Fei
WIGM
52
747
0
26 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and
  Defenses on Machine Learning Models
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACV
MIALM
83
945
0
04 Jun 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep
  Learning Models
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models
B. Rouhani
Huili Chen
F. Koushanfar
82
48
0
02 Apr 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
61
673
0
13 Feb 2018
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
87
829
0
06 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,781
0
17 Apr 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
106
606
0
15 Jan 2017
Achieving Human Parity in Conversational Speech Recognition
Achieving Human Parity in Conversational Speech Recognition
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
78
579
0
17 Oct 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
326
10,172
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.4K
39,472
0
01 Sep 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
351
33,500
0
16 Oct 2013
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
155
7,721
0
02 Mar 2011
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