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Matthew Landen
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2020 – today
- 2022
- [c5]Matthew Landen
, Keywhan Chung
, Moses Ike
, Sarah Mackay
, Jean-Paul Watson
, Wenke Lee
:
DRAGON: Deep Reinforcement Learning for Autonomous Grid Operation and Attack Detection. ACSAC 2022: 13-27 - 2021
- [c4]Miuyin Yong Wong, Matthew Landen, Manos Antonakakis, Douglas M. Blough, Elissa M. Redmiles, Mustaque Ahamad:
An Inside Look into the Practice of Malware Analysis. CCS 2021: 3053-3069 - 2020
- [c3]John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. AAAI 2020: 9992-10000 - [c2]Joey Allen, Zheng Yang, Matthew Landen, Raghav Bhat, Harsh Grover, Andrew Chang, Yang Ji, Roberto Perdisci, Wenke Lee:
Mnemosyne: An Effective and Efficient Postmortem Watering Hole Attack Investigation System. CCS 2020: 787-802
2010 – 2019
- 2019
- [i1]John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. CoRR abs/1912.07544 (2019) - 2018
- [c1]Joey Allen, Matthew Landen, Sanya Chaba, Yang Ji, Simon Pak Ho Chung, Wenke Lee:
Improving Accuracy of Android Malware Detection with Lightweight Contextual Awareness. ACSAC 2018: 210-221
Coauthor Index

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last updated on 2022-12-27 01:59 CET by the dblp team
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