Rinku Dewri
Associate Professor, Computer Science
303-871-4189 (Office)
Engineering & Computer Science Building, 2155 E. Wesley Ave. Denver, CO 80210
What I do
Explore security and privacy issues in current and emerging domains related to computer science.Specialization(s)
Information security and privacy
Professional Biography
Rinku Dewri is an Associate Professor in the Department of Computer Science at University of Denver. He obtained his Ph.D. in Computer Science from Colorado State University, Fort Collins.
Degree(s)
- Ph.D., Computer Science, Colorado State University, 2010
- BS, Mathematics and Computing, Indian Institute of Technology, 2004
- MS, Mathematics and Computing, Indian Institute of Technology, 2004
Research
Dewri's research has broadly centered around computer security and data privacy. He has worked on network security provisioning, privacy of data sharing solutions, private sharing of location data, inference risks in “so-called” anonymous data collection, all with the purpose of demonstrating that security and privacy does not come for free, as in there is always an operational cost involved, and quantitatively understanding this cost-benefit play is critical to make any solution attractive for adoption.
Dewri is currently involved in
i) exploring natural language processing methods to better facilitate privacy communications, and
ii) exploring systematic approaches to create situational awareness in critical infrastructure networks.
Dewri is currently involved in
i) exploring natural language processing methods to better facilitate privacy communications, and
ii) exploring systematic approaches to create situational awareness in critical infrastructure networks.
Areas of Research
Privacy document analysis
Usable privacy communication
Private record linkage
Situational awareness in critical infrastructures
Security risk management
Featured Publications
. (2025). PolicyPulse: Precision semantic role extraction for enhanced privacy policy comprehension. Proceedings of the Network and Distributed System Security Symposium.
. (2023). Evolution of composition, readability, and structure of privacy policies over two decades. Proceedings on Privacy Enhancing Technologies.
. (2022). On the impact of model tolerance in power grid anomaly detection systems. Proceedings of the 18th International Conference on Information Systems Security (ICISS). Cham, Switzerland: Springer.
. (2022). Privacy policy analysis with sentence classification. 2022 19th Annual International Conference on Privacy, Security, & Trust (PST). New York: Institute of Electrical and Electronics Engineers.
