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titleconferencedate
Private AI: Building Trust Through Verifiable ComputationPEPR '262026-06-01
Claims that user data never becomes visible to the provider while still running LLM workloads on cloud GPUs and that auditors can verify that claim remotely…
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Safeguarding Sensitive Data Access At Scale with Privacy-Enhancing TechnologiesWeAreDevelopers World Congress 20252025-07-09
Combines confidential computing enclaves, a KMS plus an attestation service, and serverless compute to isolate only the small functions that touch sensitive…
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Teaclave: Making Computation on Privacy-Sensitive Data Safe and SimpleApacheCon@Home 20212021-09-21
Teaclave is an Apache-incubating open source confidential computing platform that runs functions inside hardware TEEs such as Intel SGX and cloud VMs (Azure…
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Apache Teaclave (incubating): An Open Source Universal Secure Computing Platform in RustCloud Native Rust Day EU 20212021-05-03
Open source platform written in Rust that claims memory safety for enclaves and runs production services as containers deployable in Docker or cloud…
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Linux From Scratch in RustRustCon Asia 20192019-04-20
Rust’s memory-safety and zero-abstraction makes it the best candidate for system programming. To provide a safe execution environment, we build a Linux…
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Building Safe and Secure Systems in RustRustRush 20182018-12-15
Rust reduces many memory bugs but the concrete takeaways matter: dependency C libraries and FFI caused a real CVE via rusqlite/SQLite, large projects like…
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