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Attacking and Protecting Data Privacy in Edge–Cloud Collaborative Inference Systems

  • Published:2021-06-15 Issue:12 Volume:8 Page:9706-9716
  • ISSN:2327-4662
  • Container-title:IEEE Internet of Things Journal
  • language:
  • Short-container-title:IEEE Internet Things J.

Author:

He ZechengORCID,Zhang TianweiORCID,Lee Ruby B.ORCID

Funder

NSF STARSS

a research gift from Siemens

Singapore MoE AcRF Tier1

Qualcomm Faculty Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 52 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. Targeted Model Inversion: Distilling style encoded in predictions;Computers & Security;2024-09

2. In-Situ Privacy via Mixed-Signal Perturbation and Hardware-Secure Data Reversibility;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-06

3. Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving;Proceedings of the 30th Annual International Conference on Mobile Computing and Networking;2024-05-29

4. PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Differentially Private Federated Tensor Completion for Cloud–Edge Collaborative AIoT Data Prediction;IEEE Internet of Things Journal;2024-01-01
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