In this episode, we catch up with Vishwanath Raman, Privacy Architect at Oasis Labs where he works on privacy and confidentiality technologies for Direct to Consumer and Business to Business use cases. His interest and experience span formal methods, applied machine learning, security, and privacy. Vishwa got his PhD in Computer Science at UC Santa Cruz followed by postdoctoral work at Carnegie Mellon.

The Oasis Network is a privacy-enabled blockchain platform for responsible data use. Using a combination of secure computing and privacy technologies, the Oasis Network enables data owners to take control of their data and treat their data as a digital asset via data tokenization. They provide privacy as a service and use secure enclaves and differential privacy in order build a platform for a responsible data economy.

We dive into the way the Oasis system is architected for privacy, who the ideal customers are and what the use cases for this protocol is. We also chatted about some of the tradeoffs in using SGX as well as the recent Binance-led CryptoSafe Alliance announcement where Oasis is the primary infrastructure builder.

Here are some of the papers and links that we discuss: Oasis Labs at zkSummit ZK0x02 Chorus: Differential Privacy via Query Rewriting Towards Practical Differential Privacy for SQL Queries Problems with machine learning and privacy (one of many) Towards Practical Differentially Private Convex Optimization

One small correction: Vishwa mentions the number of Validators on Oasis as numbering in the hundreds, but upon checking, we were informed that the number of validators that will participate in the consensus committee at mainnet launch is 70-100. More details in the following blog post: https://docs.oasis.dev/oasis-network-primer/token-metrics-and-distribution

Thank you to this week’s sponsor Trail of Bits.

Trail of Bits has recently published a new guide for building secure contracts with their Crytic offering.

Crytic is a SaaS-based GitHub application created by Trail of Bits that continuously assures your Ethereum smart contracts are safe and functional. It reports build status on every commit and runs a suite of security analyses so you get immediate security feedback.

Check out this guide for tips on how to build security into your dapps from the start and how to use the Trail of Bits suite of tools for automated vulnerability detection.

Thank you once again Trail of Bits

Join their Slack channel (#crytic) for support, and follow Crytic on Twitter @CryticCI

If you like what we do: Follow us on Twitter - @zeroknowledgefm Join us on Telegram Catch us on Youtube Read up on the r/ZKPodcast subreddit Give us feedback! https://forms.gle/iKMSrVtcAn6BByH6A Support our Gitcoin Grant Support us on the ZKPatreon

Or directly here: ETH: 0x4BF66E52f3009Cd138e48f142D47661037160001 BTC: 1cafekGa3podM4fBxPSQc6RCEXQNTK8Zz ZEC: t-add: t1R2bujRF3Hzte9ALHpMJvY8t5kb9ut9SpQ z-add: zs1f8jjtkuqwvxy9h4q7grl6287hmpzyt4s55d392djx43wxxudwv20x7qgs74kp2h6e9k95lswst8

In this episode, we catch up with Vishwanath Raman, Privacy Architect at Oasis Labs where he works on privacy and confidentiality technologies for Direct to Consumer and Business to Business use cases. His interest and experience span formal methods, applied machine learning, security, and privacy. Vishwa got his PhD in Computer Science at UC Santa Cruz followed by postdoctoral work at Carnegie Mellon.

The Oasis Network is a privacy-enabled blockchain platform for responsible data use. Using a combination of secure computing and privacy technologies, the Oasis Network enables data owners to take control of their data and treat their data as a digital asset via data tokenization. They provide privacy as a service and use secure enclaves and differential privacy in order build a platform for a responsible data economy.

We dive into the way the Oasis system is architected for privacy, who the ideal customers are and what the use cases for this protocol is. We also chatted about some of the tradeoffs in using SGX as well as the recent Binance-led CryptoSafe Alliance announcement where Oasis is the primary infrastructure builder.

Here are some of the papers and links that we discuss: Oasis Labs at zkSummit ZK0x02 Chorus: Differential Privacy via Query Rewriting Towards Practical Differential Privacy for SQL Queries Problems with machine learning and privacy (one of many) Towards Practical Differentially Private Convex Optimization

One small correction: Vishwa mentions the number of Validators on Oasis as numbering in the hundreds, but upon checking, we were informed that the number of validators that will participate in the consensus committee at mainnet launch is 70-100. More details in the following blog post: https://docs.oasis.dev/oasis-network-primer/token-metrics-and-distribution

Thank you to this week’s sponsor Trail of Bits.

Trail of Bits has recently published a new guide for building secure contracts with their Crytic offering.

Crytic is a SaaS-based GitHub application created by Trail of Bits that continuously assures your Ethereum smart contracts are safe and functional. It reports build status on every commit and runs a suite of security analyses so you get immediate security feedback.

Check out this guide for tips on how to build security into your dapps from the start and how to use the Trail of Bits suite of tools for automated vulnerability detection.

Thank you once again Trail of Bits

Join their Slack channel (#crytic) for support, and follow Crytic on Twitter @CryticCI

If you like what we do: Follow us on Twitter - @zeroknowledgefm Join us on Telegram Catch us on Youtube Read up on the r/ZKPodcast subreddit Give us feedback! https://forms.gle/iKMSrVtcAn6BByH6A Support our Gitcoin Grant Support us on the ZKPatreon

Or directly here: ETH: 0x4BF66E52f3009Cd138e48f142D47661037160001 BTC: 1cafekGa3podM4fBxPSQc6RCEXQNTK8Zz ZEC: t-add: t1R2bujRF3Hzte9ALHpMJvY8t5kb9ut9SpQ z-add: zs1f8jjtkuqwvxy9h4q7grl6287hmpzyt4s55d392djx43wxxudwv20x7qgs74kp2h6e9k95lswst8