A Co-training Approach for Noisy Time Series Learning

Co-training, Contrastive Learning, Noisy Data, Time Series

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment

Fused Gromov-Wasserstein distance, knowledge graphs

A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots

Hyperparameter Stealing, t-SNE

Accord: Accelerating Big Data Applications on Heterogeneous Processors

All in One: Multi-Task Prompting for Graph Neural Networks

graph neural networks, Pre-training, Prompt Tuning

Alleviating Over-smoothing for Unsupervised Sentence Representation

Pre-trained Language Models, Self-Contrastive Learning

Auditing Membership Leakages of Multi-Exit Networks

Membership Inference Attack, Multi-Exit Networks

Blockchain-based Smart Campus System

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

Contrastive Learning, Image Encoder, Model Stealing

Citamon, Digital Assets Sharing and Trading System