DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
Hadi Abdullah
Wenxuan Bao - Wenxuan Bao
STRESS Attack
New Paper (2022-05) — Check out our new paper on improving privacy account for differential privacy! This work was just accepted at PETS 2022.
Recent Publications (2022-01) — Check out our ACML'21 paper and ICLR'22 paper on Speech Recognition Systems and Adversarial Machine Learning!
NeurIPS 2023 paper (2023-11) — We have a new paper on training ML models with differential privacy using data augmentations such as mixup. This work will appear at NeurIPS 2023!
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
Hadi Abdullah
Wenxuan Bao - Wenxuan Bao
STRESS Attack