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Kiarash Mohammadi

2 accepted papers

2024

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

AAAI 2024technical

As responsible AI gains importance in machine learning algorithms, properties like fairness, adversarial robustness, and causality have received considerable attention in recent years. However, despite their individual significance, there remains a critical gap in simultaneously exploring and integr…

Cited by 4SourcePDFScholar
2023

Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate

CVPR 2023poster

In many real-world settings, the critical class is rare and a missed detection carries a disproportionately high cost. For example, tumors are rare and a false negative diagnosis could have severe consequences on treatment outcomes; fraudulent banking transactions are rare and an undetected occurren…

Cited by 0SourcePDFScholar