talk on conference website
There are over 5 trillion megabytes of data on the internet, and private information and data from phones and laptops are all over the internet. We often tend to accept the privacy policies of various websites without even looking and hence causing a transfer of information to the world.
However, some websites and platforms allow you to anonymize your personal information and still allow these websites to make inferences and analyze the data via Data anonymization. Using this capability of securing and ensuring almost encrypting personally identifiable data in a dataset, we can make the data live in the open source world.
Such is the concept of Homomorphic Encryption, it allows us to eliminate the tradeoff between data usability and privacy, and keep it safe, secure, and private even in the most untrusted environments, like public clouds or external parties. In this session, we will cover what is Homomorphic Encryption and how this can change the outlook on Open Source Data. We will also demonstrate the intersection of AI and how holomorphic encryption can enable multi-party data sharing.