3 papers
cs.LG2023
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan +3
This paper delves into the realm of stochastic optimization for compositional minimax optimization - a pivotal challenge across various machine learning domains, including deep AUC…
cs.CV2023
Multi-source adversarial transfer learning based on similar source domains with local features
Yifu Zhang, Hongru Li, Shimeng Shi +2
Transfer learning leverages knowledge from other domains and has been successful in many applications. Transfer learning methods rely on the overall similarity of the source and ta…
cs.CV2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models
Wenjie Qu, Youqi Li, Binghui Wang
Image segmentation is an important problem in many safety-critical applications. Recent studies show that modern image segmentation models are vulnerable to adversarial perturbatio…