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

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Assistant Professor

Machine Learning; Trustworthy Machine Learning

Photo of David Fusco

Associate Teaching Professor and Director of Master's Programs

Photo of Nicklaus 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 and Assistant Director of Master's Programs

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

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Assistant Professor

Photo of Taegyu Kim

Assistant Professor

Software Security; Robotic Vehicle Security; Embedded Systems Security

Photo of Johnson Kinyua

Associate Teaching Professor

Cybersecurity; Data Science (FinTech); Building Secure Software Systems

Photo of Aron Laszka

Assistant Professor

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

Photo of Dongwon Lee

Professor and Director of Doctoral Programs

Cybersecurity; Data Science and Machine Learning; 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

Associate 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 Shomir Wilson

Assistant Professor

Natural Language Processing; Privacy; Computational Social Science

Photo of Dinghao Wu

Dewey Walker Professor in IST

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; Machine Learning, Deep Representation Learning

Recent News

Competition helps expose demographic and cultural biases in generative AI tools

Penn State’s Center for Socially Responsible Artificial Intelligence announced the winners of its first-ever “Bias-a-thon.” The competition, held Nov. 13–16, asked Penn Staters to identify prompts that led popular generative AI tools to produce biased or stereotype-reinforcing outputs.

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IST Professor Alan Peslak receives Meritorious Award for research excellence

Penn State Scranton Professor of Information Sciences and Technology Alan Peslak has been recognized with a Meritorious Paper Award for his outstanding contributions at the Information Systems and Computing Academic Professionals (ISCAP) Conference.

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True: Fact checkers tend to agree on validity of news claims, researchers say

Fact-checking organizations like Snopes and Politifact have generally agreed on the validity of news claims, according to researchers from the Penn State College of Information Sciences and Technology. 

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Office of Research

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

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