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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

11 October 2023
Ziqi Zhang
Chen Gong
Yifeng Cai
Yuanyuan Yuan
Bingyan Liu
Ding Li
Yao Guo
Xiangqun Chen
    FedML
ArXivPDFHTML

Papers citing "No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML"

13 / 13 papers shown
Title
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations
Vasisht Duddu
Oskari Jarvinen
Lachlan J. Gunn
Nirmal Asokan
85
1
0
25 Jun 2024
Copy, Right? A Testing Framework for Copyright Protection of Deep
  Learning Models
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models
Jialuo Chen
Jingyi Wang
Tinglan Peng
Youcheng Sun
Peng Cheng
S. Ji
Xingjun Ma
Yue Liu
D. Song
AAML
46
64
0
10 Dec 2021
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight
  Stealing in Memories
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Adnan Siraj Rakin
Md Hafizul Islam Chowdhuryy
Fan Yao
Deliang Fan
AAML
MIACV
54
113
0
08 Nov 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution
  Environments
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo
Hamed Haddadi
Kleomenis Katevas
Eduard Marin
Diego Perino
N. Kourtellis
FedML
100
246
0
29 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
71
423
0
14 Mar 2021
A Survey of Published Attacks on Intel SGX
A Survey of Published Attacks on Intel SGX
Alexander Nilsson
Pegah Nikbakht Bideh
Joakim Brorsson
28
128
0
24 Jun 2020
Serdab: An IoT Framework for Partitioning Neural Networks Computation
  across Multiple Enclaves
Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves
Tarek Elgamal
Klara Nahrstedt
FedML
6
31
0
12 May 2020
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
153
4,395
0
07 Nov 2019
Differential Privacy Has Disparate Impact on Model Accuracy
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan
Vitaly Shmatikov
78
474
0
28 May 2019
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN
  Architectures
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Mengjia Yan
Christopher W. Fletcher
Josep Torrellas
MIACV
FedML
51
247
0
14 Aug 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
L. Hanzlik
Yang Zhang
Kathrin Grosse
A. Salem
Maximilian Augustin
Michael Backes
Mario Fritz
OffRL
65
103
0
01 Aug 2018
SgxPectre Attacks: Stealing Intel Secrets from SGX Enclaves via
  Speculative Execution
SgxPectre Attacks: Stealing Intel Secrets from SGX Enclaves via Speculative Execution
Guoxing Chen
Sanchuan Chen
Yuan Xiao
Yinqian Zhang
Zhiqiang Lin
T. Lai
SILM
29
331
0
25 Feb 2018
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
200
4,075
0
18 Oct 2016
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