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09/27/2022
MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference
Multi-party computing (MPC) has been gaining popularity over the past ye...
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06/30/2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
Privacy and security-related concerns are growing as machine learning re...
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07/16/2021
Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training
In the cloud computing era, data privacy is a critical concern. Memory a...
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05/05/2021
Byzantine-Robust and Privacy-Preserving Framework for FedML
Federated learning has emerged as a popular paradigm for collaboratively...
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05/01/2021
Privacy and Integrity Preserving Training Using Trusted Hardware
Privacy and security-related concerns are growing as machine learning re...
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06/01/2020
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
Protecting the privacy of input data is of growing importance as machine...
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12/07/2019