ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.04633
  4. Cited By
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring

Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring

13 February 2018
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
ArXivPDFHTML

Papers citing "Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring"

45 / 145 papers shown
Title
High-Robustness, Low-Transferability Fingerprinting of Neural Networks
High-Robustness, Low-Transferability Fingerprinting of Neural Networks
Siyue Wang
Xiao Wang
Pin-Yu Chen
Pu Zhao
Xue Lin
AAML
40
2
0
14 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP
  Protection for Internet of Things
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things
Huming Qiu
Hua Ma
Zhi-Li Zhang
Yifeng Zheng
Anmin Fu
Pan Zhou
Yansong Gao
Derek Abbott
S. Al-Sarawi
MQ
19
9
0
09 May 2021
Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation
  with Secret Key
Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key
Maungmaung Aprilpyone
Hitoshi Kiya
18
17
0
09 Apr 2021
A survey of deep neural network watermarking techniques
A survey of deep neural network watermarking techniques
Yue Li
Hongxia Wang
Mauro Barni
34
141
0
16 Mar 2021
Proof-of-Learning: Definitions and Practice
Proof-of-Learning: Definitions and Practice
Hengrui Jia
Mohammad Yaghini
Christopher A. Choquette-Choo
Natalie Dullerud
Anvith Thudi
Varun Chandrasekaran
Nicolas Papernot
AAML
25
99
0
09 Mar 2021
Deep Model Intellectual Property Protection via Deep Watermarking
Deep Model Intellectual Property Protection via Deep Watermarking
Jie Zhang
Dongdong Chen
Jing Liao
Weiming Zhang
Huamin Feng
G. Hua
Nenghai Yu
33
106
0
08 Mar 2021
ActiveGuard: An Active DNN IP Protection Technique via Adversarial
  Examples
ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples
Mingfu Xue
Shichang Sun
Can He
Yushu Zhang
Jian Wang
Weiqiang Liu
AAML
27
7
0
02 Mar 2021
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand
  Authenticity of CNN
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
A. Abuadbba
Hyoungshick Kim
Surya Nepal
22
16
0
12 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks,
  and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
D. Song
A. Madry
Bo-wen Li
Tom Goldstein
SILM
32
271
0
18 Dec 2020
Responsible Disclosure of Generative Models Using Scalable
  Fingerprinting
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Ning Yu
Vladislav Skripniuk
Dingfan Chen
Larry S. Davis
Mario Fritz
WIGM
52
89
0
16 Dec 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly
  Detection
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu
A. Veldanda
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
AAML
33
14
0
04 Nov 2020
Watermarking Graph Neural Networks by Random Graphs
Watermarking Graph Neural Networks by Random Graphs
Xiangyu Zhao
Hanzhou Wu
Xinpeng Zhang
21
36
0
01 Nov 2020
Robust and Verifiable Information Embedding Attacks to Deep Neural
  Networks via Error-Correcting Codes
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes
Jinyuan Jia
Binghui Wang
Neil Zhenqiang Gong
AAML
35
5
0
26 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially
  Regularized Autoencoder
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
Alvin Chan
Yi Tay
Yew-Soon Ong
Aston Zhang
SILM
23
56
0
06 Oct 2020
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal
  Attack for DNN Models
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Shangwei Guo
Tianwei Zhang
Han Qiu
Yi Zeng
Tao Xiang
Yang Liu
AAML
14
33
0
18 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance
  with Data Hiding
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
Sahar Abdelnabi
Mario Fritz
WaLM
28
143
0
07 Sep 2020
Deep-Lock: Secure Authorization for Deep Neural Networks
Deep-Lock: Secure Authorization for Deep Neural Networks
Manaar Alam
Sayandeep Saha
Debdeep Mukhopadhyay
S. Kundu
6
21
0
13 Aug 2020
Training DNN Model with Secret Key for Model Protection
Training DNN Model with Secret Key for Model Protection
April Pyone Maung Maung
Hitoshi Kiya
16
24
0
06 Aug 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg
Adarsh Kumar
Vibhor Goel
Yingyu Liang
AAML
48
86
0
04 Aug 2020
Membership Leakage in Label-Only Exposures
Membership Leakage in Label-Only Exposures
Zheng Li
Yang Zhang
34
237
0
30 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive
  Review
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
36
221
0
21 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
592
0
17 Jul 2020
BoMaNet: Boolean Masking of an Entire Neural Network
BoMaNet: Boolean Masking of an Entire Neural Network
Anuj Dubey
Rosario Cammarota
Aydin Aysu
AAML
25
45
0
16 Jun 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural
  Networks
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
Ruixiang Tang
Mengnan Du
Ninghao Liu
Fan Yang
Xia Hu
AAML
23
184
0
15 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit
Stealing Deep Reinforcement Learning Models for Fun and Profit
Kangjie Chen
Shangwei Guo
Tianwei Zhang
Xiaofei Xie
Yang Liu
MLAU
MIACV
OffRL
24
45
0
09 Jun 2020
Towards Probabilistic Verification of Machine Unlearning
Towards Probabilistic Verification of Machine Unlearning
David M. Sommer
Liwei Song
Sameer Wagh
Prateek Mittal
AAML
13
71
0
09 Mar 2020
Entangled Watermarks as a Defense against Model Extraction
Entangled Watermarks as a Defense against Model Extraction
Hengrui Jia
Christopher A. Choquette-Choo
Varun Chandrasekaran
Nicolas Papernot
WaLM
AAML
13
218
0
27 Feb 2020
Model Watermarking for Image Processing Networks
Model Watermarking for Image Processing Networks
Jie Zhang
Dongdong Chen
Jing Liao
Han Fang
Weiming Zhang
Wenbo Zhou
Hao Cui
Nenghai Yu
WIGM
AAML
24
130
0
25 Feb 2020
Mind Your Weight(s): A Large-scale Study on Insufficient Machine
  Learning Model Protection in Mobile Apps
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps
Zhichuang Sun
Ruimin Sun
Long Lu
Alan Mislove
39
78
0
18 Feb 2020
Radioactive data: tracing through training
Radioactive data: tracing through training
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
38
74
0
03 Feb 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas
Yuxuan Zhang
Florian Kerschbaum
MLAU
FedML
AAML
39
145
0
02 Dec 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems
  With Limited Data
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Bo-wen Li
D. Song
AAML
27
107
0
17 Nov 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks
Tianhao Wang
Florian Kerschbaum
AAML
27
36
0
31 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via
  Fingerprinting the Classification Boundary
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
19
106
0
28 Oct 2019
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Extraction of Complex DNN Models: Real Threat or Boogeyman?
B. Atli
S. Szyller
Mika Juuti
Samuel Marchal
Nadarajah Asokan
MLAU
MIACV
33
45
0
11 Oct 2019
Detecting AI Trojans Using Meta Neural Analysis
Detecting AI Trojans Using Meta Neural Analysis
Xiaojun Xu
Qi Wang
Huichen Li
Nikita Borisov
Carl A. Gunter
Bo-wen Li
43
321
0
08 Oct 2019
Effectiveness of Distillation Attack and Countermeasure on Neural
  Network Watermarking
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking
Ziqi Yang
Hung Dang
E. Chang
AAML
27
34
0
14 Jun 2019
Evolutionary Trigger Set Generation for DNN Black-Box Watermarking
Evolutionary Trigger Set Generation for DNN Black-Box Watermarking
Jiabao Guo
M. Potkonjak
AAML
WIGM
26
15
0
11 Jun 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural
  Networks Under Hardware Fault Attacks
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong
Pietro Frigo
Yigitcan Kaya
Cristiano Giuffrida
Tudor Dumitras
AAML
22
211
0
03 Jun 2019
Digital Passport: A Novel Technological Strategy for Intellectual
  Property Protection of Convolutional Neural Networks
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks
Lixin Fan
KamWoh Ng
Chee Seng Chan
18
3
0
10 May 2019
Hide and Speak: Towards Deep Neural Networks for Speech Steganography
Hide and Speak: Towards Deep Neural Networks for Speech Steganography
Felix Kreuk
Yossi Adi
Bhiksha Raj
Rita Singh
Joseph Keshet
30
25
0
07 Feb 2019
Robust Watermarking of Neural Network with Exponential Weighting
Robust Watermarking of Neural Network with Exponential Weighting
Ryota Namba
Jun Sakuma
AAML
25
137
0
18 Jan 2019
A First Look at Deep Learning Apps on Smartphones
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu
Jiawei Liu
Yuanqiang Liu
F. Lin
Yunxin Liu
Xuanzhe Liu
HAI
33
177
0
08 Nov 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
L. Hanzlik
Yang Zhang
Kathrin Grosse
A. Salem
Maximilian Augustin
Michael Backes
Mario Fritz
OffRL
22
103
0
01 Aug 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
43
48
0
02 Apr 2018
Previous
123