15 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CR2023
XGBD: Explanation-Guided Graph Backdoor Detection
Zihan Guan, Mengnan Du, Ninghao Liu
Backdoor attacks pose a significant security risk to graph learning models. Backdoors can be embedded into the target model by inserting backdoor triggers into the training dataset…
cs.CL2023★ 15 cited
CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study
Zihan Guan, Zihao Wu, Zhengliang Liu +5
Participant recruitment based on unstructured medical texts such as clinical notes and radiology reports has been a challenging yet important task for the cohort establishment in c…
cs.CV2023★ 2 cited
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks
Zihan Guan, Mengxuan Hu, Zhongliang Zhou +3
Recently, the Segment Anything Model (SAM) has gained significant attention as an image segmentation foundation model due to its strong performance on various downstream tasks. How…