Paper accepted on privacy-preserving class imbalance mitigation for face recognition

Amani Aldahiri, Ibrahim Khalil, Mohammad Saidur Rahman, and Mohammed Atiquzzaman’s paper A privacy-preserving class imbalance mitigation framework for face recognition has been accepted in High-Confidence Computing.

The work appears in High-Confidence Computing 6(1): 100325 (2026), and proposes a privacy-preserving framework for addressing class imbalance in face recognition.

Congratulations to Amani Aldahiri, Professor Ibrahim Khalil, Mohammad Saidur Rahman, and Mohammed Atiquzzaman.