7 papers
Model-Free Generative Stealthy Attacks on Safety-Critical Vehicle Cyber-Physical Systems
Qazi Mairaj ud din, Sidra Ghayour Bhatti, Qadeer Ahmed
Existing stealthy attacks presuppose white- or grey-box access to the target system, unrealistic in practice. This paper develops a model-free stealthy attack framework that learns…
When Stealth Requires Memory: Budgeted Attack Scheduling under a Whiteness Constraint
Qazi Mairaj ud din, Sidra Ghayour Bhatti, Qadeer Ahmed
We pose stealthy attack scheduling on a sensor-to-estimator link under a resource constraint with a budget \barΓ on the fraction of corrupted transmissions and a model-free whitene…
Distribution-Free Budgeted Stealthy Attack Scheduling for Remote State Estimation
Qazi Mairaj ud din, Sidra Ghayour Bhatti, Qadeer Ahmed
This letter addresses budgeted stealthy false-data-injection (FDI) scheduling against remote state estimation, where a resource-constrained adversary may corrupt at most a fraction…
Model-Free Budgeted Attack Scheduling for Cyber-Physical Systems
Qazi Mairaj ud din, Sidra Ghayour Bhatti, Qadeer Ahmed
This letter studies the budgeted scheduling of stealthy false data-injection (FDI) attacks against state estimators in cyber-physical systems. Existing event-based attack scheduler…
Long-Horizon Traffic Forecasting via Incident-Aware Conformal Spatio-Temporal Transformers
Mayur Patil, Qadeer Ahmed, Shawn Midlam-Mohler +4
Reliable multi-horizon traffic forecasting is challenging because network conditions are stochastic, incident disruptions are intermittent, and effective spatial dependencies vary…
Travel Time and Weather-Aware Traffic Forecasting in a Conformal Graph Neural Network Framework
Mayur Patil, Qadeer Ahmed, Shawn Midlam-Mohler
Traffic flow forecasting is essential for managing congestion, improving safety, and optimizing various transportation systems. However, it remains a prevailing challenge due to th…
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework
Mayur Patil, Qadeer Ahmed, Shawn Midlam-Mohler
Traffic flow prediction is a big challenge for transportation authorities as it helps plan and develop better infrastructure. State-of-the-art models often struggle to consider the…