An essential component of initiatives that aim to address pervasive inequalities of any kind is the ability to collect empirical evidence of both the status quo baseline and of any …
Data analytics is a core part of modern decision making, especially in public policy. However, there exists a tension between data privacy and otherwise socially beneficial …
There are two strategic and longstanding questions about cyber risk that organizations largely have been unable to answer: What is an organization's estimated risk exposure and …
Secure multi-party computation (MPC) is a cryptographic primitive for computing on private data. MPC provides strong privacy guarantees, but practical adoption requires high-quality …
W Howe, A Lapets, F Jansen, T Braun… - Cryptology ePrint …, 2022 - eprint.iacr.org
Integrating private set intersection (PSI) protocols within real-world data workflows, software applications, or web services can be challenging. This can occur because data contributors …
In the wake of the social sciences' so-called replication crisis, researches increasingly strive to adopt methods preventing questionable research practices in empirical studies, eg, study …
My research investigates three questions: How do we customize protocols and implementations to account for the unique requirement of each setting and its target …
Secure multi-party computation (MPC) is a cryptographic primitive that enables several parties to compute jointly over their collective private data sets. MPC's objective is to …
P Krishnan, VM Kulkarni, G Varadarajulu… - US Patent …, 2022 - Google Patents
Textual masking for multiparty computation is provided. The method comprises receiving masked input data from a number of contributors, wherein the input data from each …