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cs.LG2026
Explanations Leak: Membership Inference with Differential Privacy and Active Learning Defense
Fatima Ezzeddine, Osama Zammar, Silvia Giordano +1
Counterfactual explanations (CFs) are increasingly integrated into Machine Learning as a Service (MLaaS) systems to improve transparency; however, ML models deployed via APIs are a…
cs.LG2026
Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
Fatima Ezzeddine, Obaida Ammar, Silvia Giordano +1
Explainable Artificial Intelligence (XAI) is becoming increasingly essential for enhancing the transparency of machine learning (ML) models. Among the various XAI techniques, count…
cs.LG2025
Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising
Tomasz Szandala, Fatima Ezzeddine, Natalia Rusin +2
Artificial Intelligence-generated content has become increasingly popular, yet its malicious use, particularly the deepfakes, poses a serious threat to public trust and discourse.…