Privacy

The rapid expansion of data collection, driven by digitization and connected devices, offers exciting opportunities for innovation and efficiency across a range of sectors. However, this growth also brings risks, including increased vulnerability to cyber-attacks and heightened privacy concerns, especially as advances in AI enable the processing of large amounts of personal data.

The Privacy research area focuses on balancing technological progress with user privacy by developing cutting-edge cryptographic techniques and privacy-enhancing tools. These innovations support advances in distributed systems, cryptocurrencies, healthcare, and smart cities without compromising privacy. Using methods such as secure multi-party computation, homomorphic encryption, and differential privacy, we demonstrate that privacy can be preserved while driving technological progress, proving that privacy and innovation can coexist.