Alejandro Russo
Alejandro Russo is a Full Professor of Computing Science at Chalmers University of Technology and the University of Gothenburg in Sweden. He is also the Co-founder and Chief Scientist at DPella, a tech company that commercializes privacy-preserving data analytics.
Session
This talk will delve into the nuanced complexities of data sharing with privacy guarantees, focusing on why traditional approaches like data anonymization and high-level statistical releases fall short of protecting individuals’ privacy. I will argue that privacy is fundamentally a property of the computation rather than of the input data or the produced output. This perspective highlights the limitations of treating privacy as a characteristic that can be "added" later in the data-processing pipeline. I will discuss how Differential Privacy, a new gold standard for privacy protection, offers a rigorous mathematical framework that inherently preserves privacy, thus enabling secure and effective data sharing.