19 citations · 71 across the 31 of their papers we have counts for
7 papers · 1 filter
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks
Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik +1
The increasing reliance of drivers on navigation applications has made transportation networks more susceptible to data-manipulation attacks by malicious actors. Adversaries may ex…
Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction
Afiya Ayman, Ayan Mukhopadhyay, Aron Laszka
When a number of similar tasks have to be learned simultaneously, multi-task learning (MTL) models can attain significantly higher accuracy than single-task learning (STL) models.…
Artificial Intelligence for Smart Transportation
Michael Wilbur, Amutheezan Sivagnanam, Afiya Ayman +3
There are more than 7,000 public transit agencies in the U.S. (and many more private agencies), and together, they are responsible for serving 60 billion passenger miles each year.…
Adversarial Reconnaissance Mitigation and Modeling
Shanto Roy, Nazia Sharmin, Mohammad Sujan Miah +3
Adversarial reconnaissance is a crucial step in sophisticated cyber-attacks as it enables threat actors to find the weakest points of otherwise well-defended systems. To thwart rec…
SoK: The MITRE ATT&CK Framework in Research and Practice
Shanto Roy, Emmanouil Panaousis, Cameron Noakes +3
The MITRE ATT&CK framework, a comprehensive knowledge base of adversary tactics and techniques, has been widely adopted by the cybersecurity industry as well as by academic researc…
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
Youngseo Kim, Danushka Edirimanna, Michael Wilbur +4
The offline pickup and delivery problem with time windows (PDPTW) is a classical combinatorial optimization problem in the transportation community, which has proven to be very cha…