Veracruz: privacy-preserving collaborative compute
summary
Veracruz is a platform for running collaborative computations among mutually distrusting parties by combining hardware isolation (Arm TrustZone, Intel SGX, AWS Nitro Enclaves, or the seL4 microvisor) with a WebAssembly-based sandboxed runtime. It provides a neutral, host-isolated environment so portable WebAssembly programs can perform privacy-preserving tasks—examples include collaborative machine learning, surveys, polls, elections, auctions, or offloading work from weak to powerful devices. The project is open-source on GitHub and positioned for community development under the Confidential Compute Consortium.
AI-written summary · about
related talks
35mVeracruz: Privacy-preserving mutliparty computation using trusted hardware
40mConfidential Computing Across Multiple Clouds and Platforms: Project Enarx
05mConfidential Computing Consortium - accelerating the privacy of computing
11mEnabling secure multi-party collaboration with confidential computing
16mIntroduction to confidential computing
38mEnarx for Confidential Computing
42mSponsored Session: Confidential Computing - New Capabilities for New Workloads- 42mSponsored Session: Confidential Computing - New Capabilities for New Workloads