10 citations · 25 across the 6 of their papers we have counts for
6 papers
CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision
Hao Wang, Zeyu Gao, Chao Zhang +7
Binary code representation learning has shown significant performance in binary analysis tasks. But existing solutions often have poor transferability, particularly in few-shot and…
How Far Have We Gone in Vulnerability Detection Using Large Language Models
Zeyu Gao, Hao Wang, Yuchen Zhou +2
As software becomes increasingly complex and prone to vulnerabilities, automated vulnerability detection is critically important, yet challenging. Given the significant successes o…
kTrans: Knowledge-Aware Transformer for Binary Code Embedding
Wenyu Zhu, Hao Wang, Yuchen Zhou +4
Binary Code Embedding (BCE) has important applications in various reverse engineering tasks such as binary code similarity detection, type recovery, control-flow recovery and data-…
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
Huanyu Bian, Zhilong Jia, Menghan Dou +13
With the rapid development of classical and quantum machine learning, a large number of machine learning frameworks have been proposed. However, existing machine learning framework…
jTrans: Jump-Aware Transformer for Binary Code Similarity
Hao Wang, Wenjie Qu, Gilad Katz +5
Binary code similarity detection (BCSD) has important applications in various fields such as vulnerability detection, software component analysis, and reverse engineering. Recent s…
Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning
Wenyu Zhu, Zhiyao Feng, Zihan Zhang +4
Recovering binary programs' call graphs is crucial for inter-procedural analysis tasks and applications based on them.transfer One of the core challenges is recognizing targets of…