Juan C. Pérez

Towards Assessing and Characterizing the Semantic Robustness of Face Recognition

2022 · arXiv (Cornell University)

Deep Neural Networks (DNNs) lack robustness against imperceptible perturbations to their input. Face Recognition Models (FRMs) based on DNNs inherit this vulnerability. We propose a methodology for assessing and characterizing the robustness of FRMs against …

BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise

2023 · arXiv (Cornell University)

The negative impact of label noise is well studied in classical supervised learning yet remains an open research question in meta-learning. Meta-learners aim to adapt to unseen learning tasks by learning a good initial model …