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cs.CR2026
Securing Filesystems for Confidential Computing
Dimitra Giantsidi, Antoine Delignat-Lavaud, Cédric Fournet +5
Confidential computing protects applications inside Trusted Execution Environments (TEEs), but it leaves storage vulnerable. Even with disk encryption, a malicious cloud provider c…
cs.CR2024
VerifiableFL: Verifiable Claims for Federated Learning using Exclaves
Jinnan Guo, Kapil Vaswani, Andrew Paverd +1
In federated learning (FL), data providers jointly train a machine learning model without sharing their training data. This makes it challenging to provide verifiable claims about…