35 citations · 35 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack
Dashan Gao, Yunce Zhao, Yinghua Yao +3
Deep learning models can be fooled by small -norm adversarial perturbations and natural perturbations in terms of attributes. Although the robustness against each perturbation…
cs.LG2022★ 35 cited
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
Qingquan Zhang, Jialin Liu, Zeqi Zhang +3
In the literature of mitigating unfairness in machine learning, many fairness measures are designed to evaluate predictions of learning models and also utilised to guide the traini…