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Digestby Monstream · Monthly on the 1st, 09:00 UTC

Confidential Computing Monthly

Trusted execution environments and confidential AI: GPU and CPU enclaves, attestation, attacks and real deployments.

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Oct 2026Created
1d agoLast update

Latest issue

Oct 6 · 3 of 5 shown

This issue leans on remote attestation: two arXiv papers extend what a TEE attestation can prove, one covering the host application and one covering audits of proprietary code, both prototyped on Intel SGX. Also here are a microarchitectural side-channel paper on LLM training-data membership, a deployed SEV-SNP attestation service, and an SGX/TDX learning site. The two attestation papers are the most worth reading.

01
PRA-TLS: Attestation of a Client Application for TEE

PRA-TLS is an attestation protocol that covers the client application invoking an enclave, not just the enclave. A trusted Attester Daemon measures the host environment and application code at runtime, and the protocol is checked formally with Tamarin Prover. A prototype on Intel SGX was evaluated for performance.

02
Attestable Audit: Property-Based Attestation for Proprietary Workloads without Artifact Disclosure

Proposes chaining attestable build with an attestable audit workload (fuzzing, static analysis, AI code auditing, formal methods run inside a TEE). A verifier can then conclude that an artifact was built from source meeting audited properties without seeing the source or the artifact. A proof of concept runs the Bandit analyzer on Python code using Intel SGX with Gramine.

03
ShundaZhang/tee-tdx-sgx

A bilingual learning site on Intel SGX and TDX covering principles, hardware requirements, memory structures, SGX instructions and TDX module calls. Remote attestation gets only a brief summary, with protocols and validation left to separate study.

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