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Noah T. Curran, Thomas W. Kennings, and Kang G. Shin,
Analysis and Prevention of MCAS-Induced Crashes,
in the Proceedings of the 2024 ACM SIGBED International Conference on Embedded Software (EMSOFT '24), Raleigh, NC, October 2024.
(Acceptance rate: 28/129 ≈ 21.7%)
[Best Paper Finalist]
[PDF]
[Poster]
[Slides]
[Code]
Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pesé, and Kang G. Shin,
Achieving the Safety and Security of the End-to-End AV Pipeline,
in the 1st Cyber Security in Cars Workshop (CSCS '24), Salt Lake City, UT, October 2024.
(Acceptance rate: 7/18 ≈ 38.9%)
[Collaboration with the UMich AV SafeSec Reading Group]
[Co-Located with CCS '24]
[PDF]
[Slides]
Noah T. Curran, Arun Ganesan, Mert D. Pesé, and Kang G. Shin,
Using Phone Sensors to Augment Vehicle Reliability,
in the Proceedings of the 11th IEEE Conference on Communications and Network Security (CNS '23), Orlando, FL, October 2023.
(Acceptance rate: 32/112 ≈ 28.6%)
[PDF]
Noah T. Curran, William Hass, Kang G. Shin, Lars Wolleschensky, Rekha Singoria, Isaac Snellgrove, and Ran Tao,
WIP: Augmenting Vehicle Safety With Passive BLE,
in the Proceedings of the Inaugural ISOC Symposium on Vehicle Security and Privacy (VehicleSec '23), San Diego, CA, February 2023.
(Acceptance rate: 6/16 ≈ 37.5%)
[Best Short/WIP Paper Runner-Up]
[Co-Located with NDSS '23]
[PDF]
Pranay Ranjan and Noah T. Curran,
Title not yet available.
[Under Review]
[PDF not yet available]
Ethan Kou and Noah T. Curran,
Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation Training,
arXiv preprint arXiv:2408.07239, 2024.
[Under Review]
[PDF]
William Namgyal and Noah T. Curran,
Neural Network-based Approach Towards Port Scan Attack Detection in Linux-based IoT Systems.
[Under Review]
[PDF not yet available]
Vadim Fedorov and Noah T. Curran,
The Implementation of Ethical AI Within Autonomous Vehicles,
Journal of Student Research, vol. 13, no. 1, Feb. 2024.
[PDF]
Rohan Gupta and Noah T. Curran,
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data,
arXiv preprint arXiv:2310.14162, 2023.
[PDF]