2 papers
cs.CL2024
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
Salvatore Greco, Ke Zhou, Licia Capra +2
AI regulations are expected to prohibit machine learning models from using sensitive attributes during training. However, the latest Natural Language Processing (NLP) classifiers,…
cs.LG2024
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti +1
Concept drift is the phenomenon in which the underlying data distributions and statistical properties of a target domain change over time, leading to a degradation in model perform…