Improving Accuracy of Android Malware Detection with Lightweight Contextual Awareness. - Joey Allen; Matthew Landen; Sanya Chaba; Yang Ji 002; Simon Pak Ho Chung; Wenke Lee (ACSAC, 2018)

Planning with Abstract Learned Models While Learning Transferable Subtasks. - John Winder; Stephanie Milani; Matthew Landen; Erebus Oh; Shane Parr; Shawn Squire; Marie desJardins; Cynthia Matuszek (AAAI, 2020)

Mnemosyne: An Effective and Efficient Postmortem Watering Hole Attack Investigation System. - Joey Allen; Zheng Yang; Matthew Landen; Raghav Bhat; Harsh Grover; Andrew Chang; Yang Ji 002; Roberto Perdisci; Wenke Lee (CCS, 2020)

An Inside Look into the Practice of Malware Analysis. - Miuyin Yong Wong; Matthew Landen; Manos Antonakakis; Douglas M. Blough; Elissa M. Redmiles; Mustaque Ahamad (CCS, 2021)

DRAGON: Deep Reinforcement Learning for Autonomous Grid Operation and Attack Detection. - Matthew Landen; Key-whan Chung; Moses Ike; Sarah Mackay; Jean-Paul Watson; Wenke Lee (ACSAC, 2022)

TRIDENT: Towards Detecting and Mitigating Web-based Social Engineering Attacks. - Zheng Yang; Joey Allen; Matthew Landen; Roberto Perdisci; Wenke Lee (USENIX Security Symposium, 2023)

Bridging Both Worlds in Semantics and Time: Domain Knowledge Based Analysis and Correlation of Industrial Process. - Moses Ike; Kandy Phan; Anwesh Badapanda; Matthew Landen; Keaton Sadoski; Wanda Guo; Asfahan Shah; Saman A. Zonouz; Wenke Lee (CoRR, 2023)

Comparing Malware Evasion Theory with Practice: Results from Interviews with Expert Analysts. - Miuyin Yong Wong; Matthew Landen; Frank Li 001; Fabian Monrose; Mustaque Ahamad (SOUPS @ USENIX Security Symposium, 2024)

WEBRR: A Forensic System for Replaying and Investigating Web-Based Attacks in The Modern Web. - Joey Allen; Zheng Yang; Feng Xiao; Matthew Landen; Roberto Perdisci; Wenke Lee (USENIX Security Symposium, 2024)

Achieving Security and Reliability of Industrial Control Systems Using Data-Driven Models Informed by Physical Domain Knowledge. - Matthew Landen (2024)