Previously, I built MentalUp which is a privacy-preserving match-making app, that can help you match with people suffering from similar mental disorders, after which they can anonymously chat with each other and try to find solutions. Inspired by this, I am trying to build a computational engine that can match secure data from multiple parties and perform computations on it.
My friends from PSE and Cursive have implemented Boolify which converts arithmetic circuits to bristol binary circuits which can be used in MPC through garbled circuits. I am looking to expand my research on this and build a protocol that can be used for multiple purposes:
- Genomic Data Analysis
- Privacy-Preserving Advertising
- Private Medical Record Matching
- Collaborative Fraud Detection
And a lot more ...
Previously, I built MentalUp which is a privacy-preserving match-making app, that can help you match with people suffering from similar mental disorders, after which they can anonymously chat with each other and try to find solutions. Inspired by this, I am trying to build a computational engine that can match secure data from multiple parties and perform computations on it.
My friends from PSE and Cursive have implemented Boolify which converts arithmetic circuits to bristol binary circuits which can be used in MPC through garbled circuits. I am looking to expand my research on this and build a protocol that can be used for multiple purposes:
And a lot more ...