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. 2005.06043
  4. Cited By
Serdab: An IoT Framework for Partitioning Neural Networks Computation
  across Multiple Enclaves

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

12 May 2020
Tarek Elgamal
Klara Nahrstedt
    FedML
ArXiv (abs)PDFHTML

Papers citing "Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves"

10 / 10 papers shown
Title
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
Tong Sun
Bowen Jiang
Hailong Lin
Borui Li
Yixiao Teng
Yi Gao
Wei Dong
FedML
16
0
0
28 May 2025
TEESlice: Protecting Sensitive Neural Network Models in Trusted
  Execution Environments When Attackers have Pre-Trained Models
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
Ding Li
Ziqi Zhang
Mengyu Yao
Y. Cai
Yao Guo
Xiangqun Chen
FedML
63
2
0
15 Nov 2024
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model
  Stealing in Edge Deployment
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
Qinfeng Li
Yangfan Xie
Tianyu Du
Zhiqiang Shen
Zhenghan Qin
Hao Peng
Xinkui Zhao
Xianwei Zhu
Yuxiang Cai
Xuhong Zhang
63
3
0
16 Oct 2024
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing
  in Edge Deployment
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment
Qinfeng Li
Zhiqiang Shen
Zhenghan Qin
Yangfan Xie
Xuhong Zhang
Tianyu Du
Jianwei Yin
69
8
0
17 Apr 2024
Edge AI for Internet of Energy: Challenges and Perspectives
Edge AI for Internet of Energy: Challenges and Perspectives
Yassine Himeur
A. Sayed
A. Alsalemi
F. Bensaali
Abbes Amira
130
31
0
28 Nov 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN
  Partition for On-Device ML
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML
Ziqi Zhang
Chen Gong
Yifeng Cai
Yuanyuan Yuan
Bingyan Liu
Ding Li
Yao Guo
Xiangqun Chen
FedML
81
21
0
11 Oct 2023
Machine Learning with Confidential Computing: A Systematization of
  Knowledge
Machine Learning with Confidential Computing: A Systematization of Knowledge
Fan Mo
Zahra Tarkhani
Hamed Haddadi
94
10
0
22 Aug 2022
Self-Serviced IoT: Practical and Private IoT Computation Offloading with
  Full User Control
Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control
Dohyun Kim
Prasoon Patidar
Han Zhang
Abhijith Anilkumar
Yuvraj Agarwal
39
2
0
09 May 2022
The Trusted Edge
The Trusted Edge
Christian Meurisch
29
0
0
28 May 2021
Identity-Aware Attribute Recognition via Real-Time Distributed Inference
  in Mobile Edge Clouds
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds
Zichuan Xu
Jiangkai Wu
Qiufen Xia
Pan Zhou
Jiankang Ren
Huizhi Liang
141
4
0
12 Aug 2020
1