Vasiliki Kalavri will visit the DASYA research group and give a talk in the Advanced Data Systems class on September 12.
Cryptographically secure analytics in the Cloud
Abstract: Enabling secure outsourced analytics with practical performance has been a long-standing research challenge in the data management and systems communities. In this talk, I will present recent work that allows multiple data holders to contribute their data towards a joint analysis in the cloud, while keeping the data siloed even from the cloud providers. I will give an overview of the QueryShield service that offers secure relational and time series analytics as-a-service, using multi-party computation (MPC). QueryShield relies on two novel MPC systems developed in our lab: (i) the SECRECY system for relational analytics, that exposes the costs of oblivious queries to the planner and employs novel logical, physical, and protocol-specific optimizations, and (ii) the TVA system for time series analytics, that introduces protocols for secure window aggregation on private inputs with unordered and irregular timestamps. Finally, I will describe challenges and ongoing research efforts towards developing an expressive and scalable MPC analytics framework with configurable security guarantees.
Bio: Vasiliki (Vasia) Kalavri is an Assistant Professor of Computer Science at Boston University, where she co-leads the Complex Analytics and Scalable Processing (CASP) Systems lab. Vasia and her team enjoy doing research on multiple aspects of (distributed) data-centric systems. Recently, they have been working on self-managed systems for data stream processing, systems for scalable graph Machine Learning, and systems for secure collaborative analytics. Before joining BU, Vasia was a postdoctoral fellow at ETH Zurich and received a joint PhD from KTH (Sweden) and UCLouvain (Belgium). Vasia has received several awards for her research, including an IBM Innovation Award for her PhD Dissertation in 2017 and the SIGMOD Systems Award in 2023. Vasia’s research lab has received funding from the NSF, and industry awards from Google, Samsung, and RedHat.