Patrick McDaniel

AI-related Expertise Topics

  • Security of machine learning/AI
  • Systems security
  • AI policy

Externally Funded AI Projects

  • CURRENT
    • "SaTC: CORE: Frontier: Collaborative: End-to-end Trustworthiness of Machine-Learning Systems", National Science Foundation, Principal Investigator: Patrick Drew McDaniel, 10/1/2018-9/30/2023, $4,971,520.
    • "Intelligent Systems, Advanced Learning Theory, Methodology, and Techniques: Mapping Black-Box Attack Metrics and Parameter Spaces in Machine Learning", U.S. Army Aviation and Missile Research, Development and Engineering Center, Principal Investigator: Patrick Drew McDaniel, 6/25/2019-6/24/2022, $496,803.
    • "SaTC: CORE: Small: Adversarial Network Reconnaissance in Software Defined Networking", National Science Foundation, Co-PI: Patrick Drew Mcdaniel, 3/15/2020-2/28/2023, $500,000.
  • PENDING
    • "Cohesive and Robust Human-Bot Cybersecurity Teams", University of Wisconsin-Madison, Principal Investigator: Patrick Drew McDaniel, 5/1/2021-4/30/2026, $734,834, On Campus, Summer: 0.50

Webpage


Related Publications

  • Dan Boneh, Andrew J. Grotto, Patrick McDaniel, Nicolas Papernot. Preparing for the Age of Deepfakes and Disinformation. Stanford HAI Policy Brief. (2020)
  • Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael Wiesman, and Patrick McDaniel. On the Robustness of Domain Constraints. Proceedings of the ACM Conference on Computer and Communications Security (CCS), ACM, November 2021.
  • Tian Xie, Ting He, Patrick McDaniel, and Namitha Nambiar. Attack Resilience of Cache Replacement Policies. IEEE International Conference on Computer Communications (INFOCOM), IEEE, May 2021.
  • Sayed M. Saghaian, Thomas La Porta, and Simone Silvestri Patrick McDaniel. Improving Robustness of a Popular Probabilistic Clustering Algorithm Against Insider Attacks. International Conference on Security and Privacy in Communication Networks (SecureComm 2020), EAI, October 2020.
  • Quinn Burke, Patrick McDaniel, Thomas La Porta, Mingli Yu, and Ting He. Misreporting Attacks in Software-Defined Networking. International Conference on Security and Privacy in Communication Networks (SecureComm 2020), EAI, October 2020.
  • Amit Kumar Sikder, Leonardo Babun, Z. Berkay Celik, Abbas Acar Hidayet Aksu, Patrick McDaniel, Engin Kirda, and Selcuk Uluagac. KRATOS: Multi-User Multi-Device-Aware Access Control System for the Smart Home. 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '20), ACM, July 2020.
  • Mingli Yu, Ting He, Patrick McDaniel, and Quinn Burke. Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks. IEEE INFOCOM, IEEE Conference on Computer Communications 2020. Beijing, China.

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Patrick McDaniel
William L. Weiss Chair in Information and Communications Technology and Distinguished Professor of Computer Science and Engineering

 
 

About

The Center for Artificial Intelligence Foundations and Engineered Systems (CAFE), pronounced café, brings together expertise from 75 researchers representing 24 academic units across Penn State with the goal of developing cross-disciplinary interactions. The center’s focus is on accelerating advances by synergistically advancing AI foundations and the techniques to deploy them efficiently toward applications focused on engineered and defense systems. CAFE provides opportunities for research partnerships, faculty/student recruitment, and technology transition to practice.

Center for Artificial Intelligence Foundations and Engineered Systems

The Pennsylvania State University

W323 Westgate Building

University Park, PA 16802