15 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 15 cited
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
Fan Liu, Weijia Zhang, Hao Liu
Machine learning-based forecasting models are commonly used in Intelligent Transportation Systems (ITS) to predict traffic patterns and provide city-wide services. However, most of…
cs.LG2022★ 15 cited
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
Fan Liu, Hao Liu, Wenzhao Jiang
Machine learning based traffic forecasting models leverage sophisticated spatiotemporal auto-correlations to provide accurate predictions of city-wide traffic states. However, exis…
cs.CV2021★ 2 cited
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction
Haowen Liu, Ping Yi, Hsiao-Ying Lin +2
Deep learning has shown impressive performance on challenging perceptual tasks and has been widely used in software to provide intelligent services. However, researchers found deep…