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Fair Differentially Private Federated Learning Framework
Balancing privacy and fairness in FL is a challenge, as privacy requires protecting user data while fairness requires representative training data.
Solvability of orbit-finite systems of linear equations
We study orbit-finite systems of linear equations, in the setting of sets with atoms.
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers
Constructing adversarial perturbations for deep neural networks is an important direction of research.
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