5 papers
Long-Range Indirect Control-Flow Prediction in Stripped Binaries via Dual Virtual Hubs and Multi-Task Graph Learning
Kun Liu, Zhengming Ding, Chenke Luo +4
Recovering indirect control-flow (ICF) edges is fundamental to binary security analysis, yet existing methods struggle with long-range dependencies, isolate different ICF types, an…
Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2025
Jingzhe Ma, Meng Zhang, Jianlong Yu +34
Human identification at a distance (HID) is challenging because traditional biometric modalities such as face and fingerprints are often difficult to acquire in real-world scenario…
A BERT-based Hierarchical Classification Model with Applications in Chinese Commodity Classification
Kun Liu, Tuozhen Liu, Feifei Wang +1
Existing e-commerce platforms heavily rely on manual annotation for product categorization, which is inefficient and inconsistent. These platforms often employ a hierarchical struc…
Resolving Indirect Calls in Binary Code via Cross-Reference Augmented Graph Neural Networks
Haotian Zhang, Kun Liu, Cristian Garces +3
Binary code analysis is essential in scenarios where source code is unavailable, with extensive applications across various security domains. However, accurately resolving indirect…
KACDP: A Highly Interpretable Credit Default Prediction Model
Kun Liu, Jin Zhao
In the field of finance, the prediction of individual credit default is of vital importance. However, existing methods face problems such as insufficient interpretability and trans…