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; Game Theory & Mechanism Design

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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


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

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

Photo of Ting Wang

Assistant 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; Multiagent Systems; Knowledge Representation and Reasoning

Recent News

New game can help users identify, avoid online echo chambers

October 15, 2021

Researchers at the College of Information Sciences and Technology have developed a theory-based game that enables a player to test their own awareness of content that could result in an echo chamber and to observe how echo chambers are accelerated by the spread of misinformation.


Honeypot security technique can also stop attacks in natural language processing

July 28, 2021

As online fake news detectors and spam filters become more sophisticated, so do attackers’ methods to trick them — including attacks through the “universal trigger.” In this learning-based method, an attacker uses a phrase or set of words to fool an indefinite number of inputs, which could lead to more fake news appearing in your social media fe


Women and lower-education users more likely to tweet personal information

July 7, 2021

When it comes to what users share on Twitter, women and users who never attended college voluntarily disclose more personal information than users from other socioeconomic and demographic backgrounds — potentially making these populations more susceptible to online privacy threats, according to a recent study led by the Penn State College of Inf


$1.2 million NSF grant to create search engine for online privacy research

June 23, 2021

A $1.2 million National Science Foundation (NSF) grant will help researchers build a search engine and create other resources for scientists who need to scour billions of online documents to improve online privacy.


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Office of Research

411 Penn State Innovation Hub
State College, PA 16801
(814) 863-6801