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A Comprehensive Defense Framework Against Model Extraction Attacks

  • Published:2023 Issue: Volume: Page:1-16
  • ISSN:1545-5971
  • Container-title:IEEE Transactions on Dependable and Secure Computing
  • language:
  • Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Jiang Wenbo1ORCID,Li Hongwei1ORCID,Xu Guowen2ORCID,Zhang Tianwei2ORCID,Lu Rongxing3ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Computer Science and EngineeringNanyang Technological University

3. Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

the Fundamental Research Funds for Chinese Central Universities

Singapore Ministry of Education (MOE) AcRF Tier 2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient and Secure Privacy-Preserving Federated Learning Via Lattice-Based Functional Encryption;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. HODA: Hardness-Oriented Detection of Model Extraction Attacks;IEEE Transactions on Information Forensics and Security;2024

3. Security and Functional Safety for AI in Embedded Automotive System – A Tutorial;IEEE Transactions on Circuits and Systems II: Express Briefs;2024

4. Backdoor Attacks to Deep Neural Networks: A Survey of the Literature, Challenges, and Future Research Directions;IEEE Access;2024

5. MERCURY: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator;2023 International Conference on Field Programmable Technology (ICFPT);2023-12-12
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