Stability-Based Analysis and Defense against Backdoor Attacks on Edge Computing Services-Reference-Cited by-同舟云学术

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Stability-Based Analysis and Defense against Backdoor Attacks on Edge Computing Services

Published:2021-01 Issue:1 Volume:35 Page:163-169
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Zhao Yi¹,Xu Ke²,Wang Haiyang³,Li Bo⁴,Jia Ruoxi⁵

Affiliation:

1. Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist)

2. Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), Peng Cheng Laboratory (PCL)

3. University of Minnesota,Duluth

4. University of Illinois,Urbana-Champaign

5. Virginia Tech.

Funder

China National Funds for Distinguished Young Scientists

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/9354913/09354927.pdf?arnumber=9354927

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1. Network Security Defense Strategy of Deep Reinforcement Learning Oriented to Game Battle;International Journal of Computer Science and Information Technology;2024-05-28

2. SGBA: A stealthy scapegoat backdoor attack against deep neural networks;Computers & Security;2024-01

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

4. Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey;IEEE Communications Surveys & Tutorials;2024

5. ART: Adaptive Retransmission for Wide-Area Loss Recovery in the Wild;2023 IEEE 31st International Conference on Network Protocols (ICNP);2023-10-10

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