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University of Pittsburgh · School of Computing and Information
Privacy.
Security.
AI.
Latest from the lab
News & events
Three connected areas of inquiry
Research areas
Foundational and applied research across intelligent systems, privacy-conscious computation, and secure information access.
Privacy-preserving AI
Our researchers study privacy in AI through differential privacy, privacy-preserving machine learning, and privacy-preserving federated learning. The work develops methods for learning from sensitive and distributed data while limiting information exposure.
- Differential privacy
- Privacy-preserving machine learning
- Privacy-preserving federated learning
Researchers
Privacy-preserving systems
We study privacy-conscious computation and data sharing in untrusted and outsourced environments, including cloud and edge computing, distributed systems, blockchains, and extended reality.
- Distributed systems & data sharing
- Cloud, edge & blockchain
- Privacy in emerging environments
Researchers
Privacy & access control
Our interests include attribute-based access control, insider threats, security and privacy in IoT, and secure health information exchange. We connect foundational security questions with the systems people depend on.
- Attribute-based access control
- IoT & network security
- Secure information exchange
Researchers
About LERSAIS
Our research
community.
Founded by Professor James Joshi, LERSAIS brings together faculty, doctoral students, and collaborators across the School of Computing and Information and beyond.
Education & outreach
Our research informs security and information assurance education, doctoral study, and GenCyber outreach for high school teachers.
Education programsResearch & collaboration
Research inquiries.
For questions about our work, doctoral study, or opportunities to collaborate with LERSAIS.
Contact the lab