Platform & Scalability Ⅱ
summary
Oasis Labs builds a privacy-first blockchain that runs confidentiality-preserving smart contract execution by combining secure enclaves and cryptographic MPC, uses verifiable computing to audit results, and decouples compute from consensus with a separate execution from consensus architecture so each layer scales independently. A RISC‑V open design called Keystone open source secure enclave targets trustworthy enclaves. Demo apps include a medical data marketplace that trains differentially private models; platform runs a private testnet now and claims production-grade ML throughput without proof-of-work energy costs.
AI-written summary · about
chapters (11)
- 0:00Start
- 5:05Technical Challenges
- 6:05Privacy Preserving Smart Contracts
- 7:25Platform Layer
- 11:39Secure Hardware
- 14:26Open Source Design
- 16:24Privacy Preserving Analytics and Machine Learning at the Application Layer
- 18:45Differential Privacy
- 20:48Enable Scaleable Smart Contract Execution
- 28:20Oasis Labs
- 34:29Power Consumption for Checking the Fraud Detection Process
related talks
01h 00mPrivacy Preserving Smart Contracts
24mSafeguarding Sensitive Data Access At Scale with Privacy-Enhancing Technologies
10mKeynote: A Secure Collaborative Learning Platform
17mThe Privacy Paradox: Merging Confidentiality & Compliance in Finance
32mSoK: Private Programmability on Blockchain Systems
20mPrivacy, the Missing Link
14mKeynote: Blockchain, Cryptography, and RISC-V: A New Frontier in Open Development
12mThe Power of Confidential Computing: Exploring Open Source Projects
