Winning the TikTok Hackathon using Zama's Concrete ML and Fully Homomorphic Encryption
Blog post from Zama
A group of computer science students from the National University of Singapore participated in the 2024 TikTok TechJam, where they developed a privacy-preserving ad-serving system using Fully Homomorphic Encryption (FHE) during the hackathon. Their project, AnonymousAds, aimed to provide personalized ad targeting while ensuring user privacy by encrypting user data on the client side before sending it to the server for processing. The server, using Zama's Concrete ML, processed the encrypted data to predict user interest categories without accessing the actual data. This approach allowed the team to maintain user privacy, as the server never accessed plain text data, and employed noise injection techniques to further obscure user interests. The project involved various components, including a client-side search engine interface, server-side encrypted data processing, and the use of a neural network regressor model, all managed within a containerized environment using Docker. The students' innovative approach to solving the privacy concerns in online advertising led to their project winning the competition, showcasing the transformative potential of FHE in the digital advertising industry.
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