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. 2011.13564
  4. Cited By
Intellectual Property Protection for Deep Learning Models: Taxonomy,
  Methods, Attacks, and Evaluations

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

27 November 2020
Mingfu Xue
Yushu Zhang
Jian Wang
Weiqiang Liu
ArXivPDFHTML

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

11 / 11 papers shown
Title
Watermarking Neuromorphic Brains: Intellectual Property Protection in
  Spiking Neural Networks
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
Hamed Poursiami
Ihsen Alouani
Maryam Parsa
42
1
0
07 May 2024
Adversarial Sparse Teacher: Defense Against Distillation-Based Model
  Stealing Attacks Using Adversarial Examples
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
Eda Yilmaz
H. Keles
AAML
21
2
0
08 Mar 2024
Turn Passive to Active: A Survey on Active Intellectual Property
  Protection of Deep Learning Models
Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models
Mingfu Xue
Leo Yu Zhang
Yushu Zhang
Weiqiang Liu
AAML
AI4CE
20
2
0
15 Oct 2023
Model Provenance via Model DNA
Model Provenance via Model DNA
Xin Mu
Yu Wang
Yehong Zhang
Jiaqi Zhang
Haibo Wang
Yang Xiang
Yue Yu
SyDa
30
0
0
04 Aug 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected
  Quitting of Parties
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
Jingwei Sun
Zhixu Du
Anna Dai
Saleh Baghersalimi
Alireza Amirshahi
David Atienza
Yiran Chen
FedML
21
8
0
28 Mar 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security
  and Privacy, and Future Prospects
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
Yuntao Wang
Zhou Su
Shaolong Guo
Minghui Dai
Tom H. Luan
Yiliang Liu
29
108
0
31 Jan 2023
FedTracker: Furnishing Ownership Verification and Traceability for
  Federated Learning Model
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao
Wenyuan Yang
Hanlin Gu
Zhan Qin
Lixin Fan
Qiang Yang
Kui Ren
FedML
29
29
0
14 Nov 2022
InFIP: An Explainable DNN Intellectual Property Protection Method based
  on Intrinsic Features
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features
Mingfu Xue
Xin Wang
Ying-Chang Wu
S. Ni
Yushu Zhang
Weiqiang Liu
24
2
0
14 Oct 2022
Solving the Capsulation Attack against Backdoor-based Deep Neural
  Network Watermarks by Reversing Triggers
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers
Fangqi Li
Shilin Wang
Yun Zhu
AAML
18
1
0
30 Aug 2022
Protect the Intellectual Property of Dataset against Unauthorized Use
Protect the Intellectual Property of Dataset against Unauthorized Use
Mingfu Xue
Yinghao Wu
Yushu Zhang
Jian Wang
Weiqiang Liu
38
4
0
16 Sep 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
1