3 papers
cs.CL2025
Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning
Saksham Khatwani, He Cheng, Majid Afshar +2
Large language models (LLMs) show promise for diagnostic reasoning but often lack reliable, knowledge grounded inference. Knowledge graphs (KGs), such as the Unified Medical Langua…
cs.CV2024
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection
He Cheng, Depeng Xu, Shuhan Yuan
Image anomaly detection (IAD) is essential in applications such as industrial inspection, medical imaging, and security. Despite the progress achieved with deep learning models lik…
cs.LG2024
Backdoor Attack against One-Class Sequential Anomaly Detection Models
He Cheng, Shuhan Yuan
Deep anomaly detection on sequential data has garnered significant attention due to the wide application scenarios. However, deep learning-based models face a critical security thr…