5 papers
Digital Guardians: The Past and The Future of Cyber-Physical Resilience
Saurabh Bagchi, Hyunseung Kim, Tarek Abdelzaher +20
Resilience in cyber-physical systems (CPS) is the fundamental ability to maintain safety and critical functionality despite adverse "perturbations," which includes security attacks…
Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups
Gelei Xu, Yuying Duan, Jun Xia +3
AI models for medical diagnosis often exhibit uneven performance across patient populations due to heterogeneity in disease prevalence, imaging appearance, and clinical risk profil…
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Expert
Gelei Xu, Yuying Duan, Zheyuan Liu +5
AI-based systems have achieved high accuracy in skin disease diagnostics but often exhibit biases across demographic groups, leading to inequitable healthcare outcomes and diminish…
The Cost of Local and Global Fairness in Federated Learning
Yuying Duan, Gelei Xu, Yiyu Shi +1
With the emerging application of Federated Learning (FL) in finance, hiring and healthcare, FL models are regulated to be fair, preventing disparities with respect to legally prote…
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
Yuying Duan, Yijun Tian, Nitesh Chawla +1
Federated Learning (FL) is a distributed machine learning framework in which a set of local communities collaboratively learn a shared global model while retaining all training dat…