Security and Privacy

Our faculty are recognized leaders in security and privacy, using both innovative theory and practical methods to address these critical issues. 

In today's digital landscape, various adversaries exploit security vulnerabilities to compromise essential assets. At the same time, increasing privacy concerns and extensive data collection enable the manipulation of individual lives, underscoring the need for effective solutions.

We focus on the security of computer and communication systems, including operating systems, data provenance, the Internet, wireless networks, cloud computing, and mobile computing. Our research includes privacy-preserving data sharing, distributed systems, cryptocurrencies, blockchains, adversarial machine learning, and advanced cryptographic techniques. These methods are applied to diverse areas, such as multisensory systems, human factors, power grids, autonomous vehicles, and healthcare. By addressing these challenges, we work to enhance digital security and protect individuals' privacy.

Siebel School Experts at Work 
Big challenges. Bold solutions. See how our faculty and students are shaping Security and Privacy.  

NSF awards strengthen open-science data security

The Grainger College of Engineering

Five CS Graduate Students Named 2026 Siebel Scholars

Siebel School of Computing and Data Science

Seminars

Faculty & Affiliate Faculty

Secure Compilation, Program Analysis, Software Security, Debloating

Systems and Networks, Auditing, Internet of Things Security

 Network Verification, Software Resilience, Model Checking

 Cloud Computing, Big Data, Ubiquitous Computing, Micro Kernels

Usable Privacy, Usable Security

Hardware Security, Applied Cryptography

Network Infrastructure Security and Verification

Internet-of-Things, Privacy, Data Science,Healthcare, Power Grid

Cryptography, Secure Computation, Multiparty Computation

Systems Security, Memory/Storage Security

Measures and Models,  Trust Measurement and Modeling, AI/ML, Systems and Networks

Secure Computation, Cryptography, Privacy

Mobile Privacy, Wireless Security

E-Crime and Cyber-Physical Systems

Machine Learning, Privacy Preserving Generative Models

Trustworthy AI, Cyber Threat Intelligence, Privacy Compliance

Distributed Computing and Cryptography

Approximate Computing across Full System Stack

Mobile, Multi-Sensory Systems, Quality and Resource Management, Energy Systems

Cryptography, Secure Distributed Systems, Privacy

Formal verification of security protocols; Verification of differential privacy

Security and Privacy, Internet Measurement, Human Factors

Usable Privacy and Security

Adjunct Faculty