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08/12/2023
SGX-MR-Prot: Efficient and Developer-Friendly Access-Pattern Protection in Trusted Execution Environments
Trusted Execution Environments, such as Intel SGX, use hardware supports...
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08/12/2023
Making Your Program Oblivious: a Comparative Study for Side-channel-safe Confidential Computing
Trusted Execution Environments (TEEs) are gradually adopted by major clo...
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12/31/2022
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning
Large training data and expensive model tweaking are standard features o...
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12/22/2022
GAN-based Domain Inference Attack
Model-based attacks can infer training data information from deep neural...
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12/05/2022
Confidential High-Performance Computing in the Public Cloud
High-Performance Computing (HPC) in the public cloud democratizes the su...
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12/15/2020
Confidential Machine Learning on Untrusted Platforms: A Survey
With ever-growing data and the need for developing powerful machine lear...
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09/08/2020
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications
Intel SGX has been a popular trusted execution environment (TEE) for pro...
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02/05/2019
Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning
Due to the high training costs of deep learning, model developers often ...
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04/11/2018
Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems
Modern healthcare systems now rely on advanced computing methods and tec...
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02/22/2018
