Debajyoti Das, Assistant Professor

My research centers around solving real-world privacy problems with clear and formal definitions for privacy, and provable guarantees for the desired privacy properties. With a goal to achieve cryptography-like privacy guarantees, I take the following approach towards building privacy-preserving systems: (i) identify and propose security definitions that translates to strong privacy guarantees in practice based on rigorous theoretical analysis; (ii) analyze the fundamental requirements to achieve strong guarantees; (iii) based on those analyses, propose more efficient and scalable designs that are deployable in a real-world scenario, accompanied by a rigorous security analysis.

My current research efforts attempt to solve problems related to following privacy related domains:

• building and analyzing systems for communication privacy;
• building privacy preserving techniques for storage and computation outsourcing for ML/AI applications based on FHE;
• analyzing and improving censorship circumvent systems.

Link to my personal webpage: https://dedas111.github.io/