Privacy and Security

Our research in privacy and security takes an interdisciplinary approach to detecting and removing threats of cyberattacks, enhancing predictability and trust, and understanding online privacy and information manipulation. Our research methodology is rooted in several disciplines, including computer science, applied mathematics, cognitive science, control theory, economics, social sciences, and public policy. Specifically, we conduct research to understand issues and seize opportunities in systems and software security, usability considerations in privacy and security, economics of information security, and data-driven security, among many others.

Research-Active Faculty
Photo of Jinghui Chen

Assistant Professor

Machine Learning; Adversarial Machine Learning; Security and Privacy in Machine Learning

Photo of David Fusco

Associate Teaching Professor

Photo of Nicklaus A. Giacobe

Assistant Teaching Professor

Cybersecurity; Situation Awareness; Security Metrics

Photo of C. Lee Giles

David Reese Professor of Information Sciences and Technology

Machine and Deep Learning; Artificial Intelligence; Text Processing and Knowledge Extraction

Photo of Edward J. Glantz

Teaching Professor

Cybersecurity; Risk Analysis; Risk Identification

Photo of Hadi Hosseini

Assistant Professor

Artificial Intelligence; Multiagent Systems; Algorithmic Fairness

Photo of Hong Hu

Assistant Professor

System Security; Software Security

Photo of Taegyu Kim

Assistant Professor

Robotic Vehicle Security; Software Security; Embedded Systems Security

Photo of Johnson Kinyua

Associate Teaching Professor

Cybersecurity; Building Secure Software Systems; RFID

Photo of Dongwon Lee

Professor

Data Science and Machine Learning; Cybersecurity; Social Computing

Photo of Peng Liu

Raymond G. Tronzo, MD Professor of Cybersecurity

Computer Security; Building Secure Software Systems; Secure Internet of Things

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Assistant Research Professor

Biomedical Informatics; Data Privacy; Applied Statistics

Photo of Sarah Rajtmajer

Assistant Professor

Machine Learning and AI; Privacy and Security; Replication and Confidence in Science

Photo of Don Shemanski

Professor of Practice

Photo of Linhai Song

Assistant Professor

Software Engineering; System Security; Programming Languages

Photo of Anna Squicciarini

Frymoyer Chair in Information Sciences and Technology

Privacy; Access Control; Online Deviance

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Assistant Research Professor

Formal Verification; Computational Sciences; Fault Tolerance

Photo of Ting Wang

Assistant Professor

Photo of Shomir Wilson

Assistant Professor

Natural Language Processing; Privacy; Computational Social Science

Photo of Dinghao Wu

Professor

Cybersecurity; Machine Learning; Software Systems

Photo of Aiping Xiong

Assistant Professor

Human Factors; Cybersecurity and Privacy; Human Perception and Action

Photo of Amulya Yadav

Assistant Professor

Responsible Artificial Intelligence; Social Network Analysis; Machine Learning

Photo of John Yen

Professor

Artificial Intelligence; Cybersecurity; Human-AI Collaboration

Recent News

IST Assistant Professor Linhai Song honored with NSF CAREER award

April 11, 2022

Linhai Song, assistant professor in the Penn State College of Information Sciences and Technology, is the recipient of a 2022 Faculty Early Career Development award from the National Science Foundation.

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IST’s Dongwon Lee receives Fulbright Cyber Security Scholar Award

April 5, 2022

Dongwon Lee, professor of information sciences and technology, is the recipient of a 2022 Fulbright Cyber Security Scholar Award. Lee will complete his Fulbright fellowship in the psychology department at the University of Cambridge in the United Kingdom as part of his sabbatical leave during the 2022-23 academic year. 

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Guided understanding, not rules, could help children stay safer online

March 3, 2022

As an increasing number of children use digital technologies to play, communicate, create, socialize and learn, the number of opportunities for their privacy to be exploited continues to grow.

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Facial recognition tech in public could yield perceptions of workplace fairness

March 3, 2022

Many people use facial recognition technology on their personal devices, to quickly and securely enter a password or complete an online transaction. But when that same technology is deployed in public settings — such as to screen airport passengers or to grant access to a secure location — how do individuals whose images are captured feel?

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Office of Research

411 Eric J. Barron Innovation Hub
State College, PA 16801

researchadmin@ist.psu.edu
(814) 863-6801