Confidential Computing

Computing on data you cannot see: secure enclaves, multi-party computation, and homomorphic encryption.

305 talks

• TLShare: Verifiable Inputs for Private Computation - Dimitris Mouris - zkTLS Day @ Devconnect 2025
• Data Liberation and Adversarial Interop with TEE and OAuth3
• ZK Whiteboard Sessions - S3M6: Trusted Execution Environments, w/ Andrew Miller
• Accessing Data Privately, from Theory to Practice with Elaine Shi | a16z crypto Research Series
• How One Crucial Flaw in AI Could Destroy The Entire Sector - Phala CTO
• Episode 379 - Verifiable Key Management and TEEs with Turnkey
• Build 8004 Agents with Oasis
• Scaling AI on Ethereum: Data Availability and the Private Computer
• Deep Dive into Privacy Enhancing Technologies
• Meet Stoffel
• Fhenix
• zkTls
• Zama: FHE - the Holy Grail of Blockchain Privacy - Rand Hindi. Ep. 614
• A Discussion on the Future of Onchain Finance
• Introdução a FFT - Core Program Brasil 2025
• 【DEPCON】【第2部前半】暗号が開くスマートコントラクトの力
• Fireside Chat with Kartik Talwar and Illia Polosukhin
• Why You Should Be Optimistic About MEV
• Bringing Privacy to Stablecoins: Unlocking the Next Wave of Adoption
• SpaceTEE - out of this world programmable cryptography
• Unlocking the Potential of Confidential AI: The Synergy of AI and TEEs
• The Route to Mainstream Adoption: Encrypted Blockchain & FHE Acceleration Hardware
• Ethereum’s future hinges on TEEs
• Confidential ERC20 Framework: A New Primitive for Onchain Confidentiality Proposed by Inco and Circle Research