Security analysis reconstructing NVIDIA GPU-CC blueprint, bootstrap, and bridge protections with targeted experiments on data transfer security under the stated threat model.
Secfl: Confidential federated learning using tees,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CR 2verdicts
UNVERDICTED 2representative citing papers
DIST-FL distributes TEE-guarded servers into an append-only ledger to ensure linearizable FL aggregation and counter rollback plus I/O attacks while matching single-TEE speed.
citing papers explorer
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Blueprint, Bootstrap, and Bridge: A Security Look at NVIDIA GPU Confidential Computing
Security analysis reconstructing NVIDIA GPU-CC blueprint, bootstrap, and bridge protections with targeted experiments on data transfer security under the stated threat model.
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DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning
DIST-FL distributes TEE-guarded servers into an append-only ledger to ensure linearizable FL aggregation and counter rollback plus I/O attacks while matching single-TEE speed.