Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation

9 December 2023

Papers citing "Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation"

3 / 3 papers shown

Title
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 44 3 0 30 Oct 2024
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation Shiji Zhao Xizhe Wang Xingxing Wei AAML 48 8 0 28 Jun 2023
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 372 75,888 0 18 May 2015