Ryan Sheatsley

Welcome! I am a Ph.D. student in the Department of Computer Science and Engineering at the Pennsylvania State University. I am lead graduate student of the Systems and Internet Infrastructure Security Laboratory and advised by Prof. Patrick McDaniel.

My research focuses on the security of machine learning systems and using machine learning for security. I am exploring how machine learning systems can be abused by adversaries and techniques to better secure them. I am also investigating how to leverage machine learning to solve challenging security problems.

Address: W378 Westgate Building, University Park, PA 16802, USA
Email: ryan@sheatsley.me


Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations
Ryan Sheatsley, Matthew Durbin, Azaree Lintereur, Patrick McDaniel
IEEE Sensors, 2021 (to appear)

Evading Machine Learning-based Network Intrusion Detection Systems with GANs
Bolor-Erdene Zolbayar, Ryan Sheatsley, Patrick McDaniel
Game Theory and Machine Learning for Cyber Security
Charles A Kamhoua, Christopher D. Kiekintveld, Fei Fang, Quanyan Zhu (Editors), 2021 (expected)

Development of Machine Learning Algorithms for Directional Gamma Ray Detection
Matthew Durbin, Ryan Sheatsley, Christopher Balbier, Tristan Grieve, Patrick McDaniel, Azaree Lintereur
Proceedings of the Institute of Nuclear Materials Management Annual Meeting (INMM), 2019 J.D Williams Student Paper Award

Curie: Policy-based Secure Data Exchange
Z. Berkay Celik, Abbas Acar, Hidayet Aksu, Ryan Sheatsley, Patrick McDaniel, A Secuk Uluagac
Proceedings of the ACM Conference on Data and Application Security and Privacy (CODASPY), 2019

Application Transiency: Towards a Fair Trade of Personal Information for Application Services
Raquel Alvarez, Jake Levenson, Ryan Sheatsley, Patrick McDaniel
Proceedings of the EAI Conference on Security and Privacy in Communication Networks (SecureComm), 2019

Detection under Privileged Information
Z. Berkay Celik, Patrick McDaniel, Rauf Izmailov, Nicolas Papernot, Ryan Sheatsley, Raquel Alvarez, Ananthram Swami
Proceedings of the ACM ASIA Conference on Computer and Communications Security (ASIACCS), 2018

Network Traffic Obfuscation: An Adversarial Machine Learning Approach
Gunjan Verma, Ertugrul Ciftcioglu, Ryan Sheatsley, Kevin Chan, Lisa Scott
Proceedings of the IEEE Conference on Military Communications (MILCOM), 2018

A Vision Toward an Internet of Battlefield Things (IoBT): Autonomous Classifying Sensor Network
John Zhu, Egan McClave, Quan Pham, Sujay Polineni, Sam Reinhart, Ryan Sheatsley, Andrew Toth
United States Army Research Laboratory, 2018

Heterogeneous Information Sharing of Sensor Information in Contested Environments
Jason A Wampler, Chien Hsieh, Andrew Toth, Ryan Sheatsley
Proceedings of the SPIE Conference on Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR, 2017

Cleverhans v2.0.0: an Adversarial Machine Learning Library
Nicolas Papernot, Ian Goodfellow, Ryan Sheatsley, Reuben Feinman, Patrick McDaniel
arXiv, 2016

Analyzing GAIAN Database (GaianDB) on a Tactical Network
Ryan Sheatsley, Andrew Toth
United States Army Research Laboratory, 2015