Yinyan Zhang

2 accepted papers

2025

Repetitive Motion Control for Redundant Manipulator under False Data Injection Attacks *

IROS 2025

Repetitive motion control (RMC) for redundant manipulators has been extensively studied from the kinematic perspective, whereas security concerns under malicious adversaries have received limited attention. In network-controlled manipulators, when control commands sent from the control center to the

Cited by 0 Source ↗Scholar ↗

2025

Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach

Rong Zhao, Jilian Zhang, Yu Wang, Yinyan Zhang, Jian Weng

IJCAI 2025

Graph Neural Networks (GNNs) are known to be prone to adversarial attacks, among which backdoor attack is a major security threat. By injecting backdoor triggers into a graph and assigning a target class label to nodes attached to the triggers, the attacker can mislead the GNN model trained on the p

Cited by 0 Source ↗PDF ↗Scholar ↗