3 papers
cs.CV2025
Defending Against Frequency-Based Attacks with Diffusion Models
Fatemeh Amerehi, Patrick Healy
Adversarial training is a common strategy for enhancing model robustness against adversarial attacks. However, it is typically tailored to the specific attack types it is trained o…
math.OC2025
Transforming Ridesharing: Harnessing Role Flexibility and HOV Integration for Enhanced Mobility Solutions
Fatemeh Amerehi, Patrick Healy
While dynamic ridesharing has been extensively studied, there remains a significant research gap in exploring role flexibility within the many-to-many ridesharing scheme, where the…
cs.CV2025
Narrowing Class-Wise Robustness Gaps in Adversarial Training
Fatemeh Amerehi, Patrick Healy
Efforts to address declining accuracy as a result of data shifts often involve various data-augmentation strategies. Adversarial training is one such method, designed to improve ro…