Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.01300
Cited By
v1
v2 (latest)
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
1 June 2020
H. Hashemi
Yongqin Wang
M. Annavaram
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks"
6 / 6 papers shown
Title
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training
Jonghytun Lee
Yongqin Wang
Rachit Rajat
M. Annavaram
102
0
0
20 Jan 2025
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks
Yongqin Wang
Pratik Sarkar
Nishat Koti
A. Patra
Murali Annavaram
49
2
0
08 Nov 2023
Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
Pengzhi Huang
Thang Hoang
Yueying Li
Elaine Shi
G. E. Suh
44
3
0
18 Oct 2022
Enabling Inference Privacy with Adaptive Noise Injection
Sanjay Kariyappa
Ousmane Amadou Dia
Moinuddin K. Qureshi
56
5
0
06 Apr 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
259
577
0
27 Jul 2020
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
116
139
0
25 Apr 2020
1