Fatemeh Amerehi

Fatemeh is a Ph.D. researcher in Computer Science and Information Systems at the University of Limerick. Her research interests lie in AI safety, deep generative models, and mathematical programming, ranging​ from​ theory​ to​ design​ to​ implementation. Her work investigates the robustness and out-of-distribution generalization of deep neural networks, while also exploring the capabilities and vulnerabilities of deep generative models, particularly GANs and diffusion models. In addition, she works on optimization problems related to dynamic ridesharing and transportation systems.

Publications:

Defending Against Frequency-Based Attacks with Diffusion Models, Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops, 2025, pp. 3523-3533 https://openaccess.thecvf.com/content/CVPR2025W/AdvML/html/Amerehi_Defending_Against_Frequency-Based_Attacks_with_Diffusion_Models_CVPRW_2025_paper.html

Label Augmentation for Neural Networks Robustness, Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274:620-640, 2025 https://proceedings.mlr.press/v274/amerehi25a.html

Narrowing Class-Wise Robustness Gaps in Adversarial Training, ICLR 2025 Workshop on Foundation Models in the Wild https://openreview.net/forum?id=23zngyObBI

VF-Net: Robustness Via Understanding Distortions and Transformations, 2024 IEEE International Conference on Image Processing (ICIP) https://ieeexplore.ieee.org/abstract/document/10647346

Ridesharing: Harnessing Role Flexibility and HOV Integration, Proceedings of the 10th TRA Conference 2024 https://arxiv.org/abs/2504.05077

Ridesharing: The Impact of Traffic Restrictions and Role Flexibility, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), https://ieeexplore.ieee.org/abstract/document/10422162