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Trustworthy AI Inference Systems: An Industry Research View

Trustworthy AI Inference Systems: An Industry Research View

10 August 2020
Rosario Cammarota
M. Schunter
Anand Rajan
Fabian Boemer
Ágnes Kiss
Amos Treiber
Christian Weinert
T. Schneider
Emmanuel Stapf
A. Sadeghi
Daniel Demmler
Joshua Stock
Huili Chen
S. Hussain
Sadegh Riazi
F. Koushanfar
Saransh Gupta
T. Rosing
Kamalika Chaudhuri
Hamid Nejatollahi
N. Dutt
Mohsen Imani
Kim Laine
Anuj Dubey
Aydin Aysu
Fateme S. Hosseini
Chengmo Yang
Eric Wallace
Pam Norton
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Papers citing "Trustworthy AI Inference Systems: An Industry Research View"

5 / 5 papers shown
Title
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Anuj Dubey
Rosario Cammarota
Vikram B. Suresh
Aydin Aysu
AAML
30
31
0
01 Sep 2021
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
70
134
0
10 Mar 2020
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
96
235
0
16 Sep 2019
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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