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

Associate Teaching Professor

Cybersecurity Education; Cybersecurity; Situation Awareness

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 Aron Laszka

Assistant Professor

Artificial Intelligence and Machine Learning; Cyber-Physical Systems and Smart & Connected Communities; Cybersecurity

Photo of Dongwon Lee


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

Photo of Ting Wang

Associate Professor

Photo of Shomir Wilson

Assistant Professor

Natural Language Processing; Privacy; Computational Social Science

Photo of Dinghao Wu


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


Artificial Intelligence; Cybersecurity; Human-AI Collaboration

Recent News

Deepfakes expose vulnerabilities in certain facial recognition technology

August 11, 2022

Mobile devices use facial recognition technology to help users quickly and securely unlock their phones, make a financial transaction or access medical records.


Sharing source-backed information can help reduce COVID-19 misinformation online

June 9, 2022

If you see fake news about COVID-19 circulating on your social media feeds, say something — if you have a reliable source to back it up. You could help other users to be less susceptible to misinformation, according to a new study by researchers at the Penn State College of Information Sciences and Technology.


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.


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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Office of Research

411 Eric J. Barron Innovation Hub
State College, PA 16801
(814) 863-6801