Inpher Web Talk: Privacy Budget and the Data-Driven Enterprise

Unlocking the potential of data-driven insights while safeguarding privacy and adhering to regulations is a paramount challenge for today's organizations. The rising importance of privacy-enhancing technologies (PETs) has sparked a transformation in how data analytics and sharing are approached. While PETs like secure multiparty computation (MPC), fully homomorphic encryption (FHE), federated learning (FL), trusted execution environments (TEEs), and differential privacy (DP) ensure input privacy, the crucial aspect of output privacy demands equal attention.

In this talk, Dr. Mariya Georgieva Belorgey, Vice President of Cryptography and Engineering at Inpher, is joined by Hema Krishnamurthy, a leader in emerging privacy-preserving technologies, for an open discussion on the state of privacy-preserving technologies and their intersection with privacy budget.

This thought-provoking talk delves into:

• Privacy-enhancing technologies and the evolving concept of a privacy budget.
• What exactly does Privacy Budget mean in contexts outside of Differential Privacy.
• Is Privacy Budget a future guardian of privacy?
• What are potential hurdles you may encounter in implementing output privacy.
• Striking the Privacy Budget balance and the pivotal role of output privacy plays.
• How does implementing output privacy affect different stakeholders in an organization?
• Empowering organizations to unlock the value of their data while prioritizing privacy.