Poster "fairness in machine learning" Papers

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FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA

Songqi Zhou, Zeyuan Liu, Benben Jiang

NEURIPS 2025arXiv:2510.19421

On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness

Junyi Chai, Taeuk Jang, Jing Gao et al.

Disparate Impact on Group Accuracy of Linearization for Private Inference

Saswat Das, Marco Romanelli, Ferdinando Fioretto

ICML 2024arXiv:2402.03629