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Matthew Landen

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2020 – today

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2022
[c5]
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  dblp key:
  - conf/acsac/LandenCIMWL22
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  - https://dblp.org/rec/conf/acsac/LandenCIMWL22
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
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  - conf/ccs/WongLABRA21
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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]
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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
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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

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2019
[i1]
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  - journals/corr/abs-1912-07544
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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
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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

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