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A Survey of Data Security: Practices from Cybersecurity and Challenges
  of Machine Learning

A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning

6 October 2023
Padmaksha Roy
Jaganmohan Chandrasekaran
Erin Lanus
Laura J. Freeman
Jeremy Werner
ArXivPDFHTML

Papers citing "A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning"

6 / 6 papers shown
Title
SOK: Blockchain for Provenance
SOK: Blockchain for Provenance
Asma Jodeiri Akbarfam
Hoda Maleki
18
0
0
25 Jul 2024
Interactive Simulations of Backdoors in Neural Networks
Interactive Simulations of Backdoors in Neural Networks
Peter Bajcsy
Maxime Bros
21
0
0
21 May 2024
How to DP-fy ML: A Practical Guide to Machine Learning with Differential
  Privacy
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
Natalia Ponomareva
Hussein Hazimeh
Alexey Kurakin
Zheng Xu
Carson E. Denison
H. B. McMahan
Sergei Vassilvitskii
Steve Chien
Abhradeep Thakurta
94
167
0
01 Mar 2023
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
42
210
0
14 Jan 2021
Towards Communication-efficient and Attack-Resistant Federated Edge
  Learning for Industrial Internet of Things
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Yi Liu
Ruihui Zhao
Jiawen Kang
A. Yassine
Dusit Niyato
Jia-Jie Peng
FedML
69
35
0
08 Dec 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
432
0
04 Mar 2020
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