Shengshan Hu

Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval

2017

A massive explosion of various types of data has been triggered in the “Big Data” era. In big data systems, machine learning plays an important role due to its effectiveness in discovering hidden information and …

Variational Bayes for Federated Continual Learning

2024 · arXiv (Cornell University)

Federated continual learning (FCL) has received increasing attention due to its potential in handling real-world streaming data, characterized by evolving data distributions and varying client classes over time. The constraints of storage limitations and privacy …

PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation

2024 · arXiv (Cornell University)

With the rapid advancement of deep learning, the model robustness has become a significant research hotspot, \ie, adversarial attacks on deep neural networks. Existing works primarily focus on image classification tasks, aiming to alter the …