Paarijaat Aditya

Paarijaat Aditya is a faculty member at the Max Planck Institute for Software Systems (MPI-SWS), focusing on interdisciplinary research at the intersection of theoretical computer science and applied systems. Their work spans algorithms, programming languages, security, and distributed systems, with a particular emphasis on serverless computing, federated learning, and privacy-preserving urban sensing.

• Research Areas:
  • Machine Learning Security (e.g., model hijacking, federated learning)
  • Serverless Computing (e.g., GPU sharing, high-performance frameworks)
  • Privacy Engineering (e.g., urban sensing, image capture, mobile compliance)
  • Distributed Systems (e.g., NFV, peer-assisted content delivery)

Their publications reflect a trajectory of advancing scalable AI training, secure collaborative systems, and privacy-compliant infrastructures. Recent works address challenges in public cloud adaptability, while earlier contributions explore mobile privacy risks and secure resource management.