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Visor: Privacy-Preserving Video Analytics as a Cloud Service

Visor: Privacy-Preserving Video Analytics as a Cloud Service

17 June 2020
Rishabh Poddar
Ganesh Ananthanarayanan
Srinath T. V. Setty
Stavros Volos
Raluca A. Popa
ArXivPDFHTML

Papers citing "Visor: Privacy-Preserving Video Analytics as a Cloud Service"

6 / 6 papers shown
Title
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
Han Zhang
Zifan Wang
Mihir Dhamankar
Matt Fredrikson
Yuvraj Agarwal
46
2
0
02 Jun 2024
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Qifan Wang
Shujie Cui
Lei Zhou
Ye Dong
Jianli Bai
Yun Sing Koh
Giovanni Russello
33
0
0
01 May 2023
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at
  the Edge
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan
Neil Agarwal
Anand Iyer
Ganesh Ananthanarayanan
Yuanchao Shu
Nikolaos Karianakis
G. Xu
Ravi Netravali
43
59
0
19 Jan 2022
Boggart: Towards General-Purpose Acceleration of Retrospective Video
  Analytics
Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics
Neil Agarwal
Ravi Netravali
27
14
0
21 Jun 2021
Secure Collaborative Training and Inference for XGBoost
Secure Collaborative Training and Inference for XGBoost
Andrew Law
Chester Leung
Rishabh Poddar
Raluca A. Popa
Chenyu Shi
Octavian Sima
Chaofan Yu
Xingmeng Zhang
Wenting Zheng
FedML
17
32
0
06 Oct 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
114
395
0
08 Jun 2018
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