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20232025
most citedTransformers in Protein: A Survey

1 citations · 1 across the 1 of their papers we have counts for

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cs.CR2024

Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

Ruitong Liu, Yanbin Wang, Haitao Xu +4

Code Language Models (codeLMs) and Graph Neural Networks (GNNs) are widely used in code vulnerability detection. However, GNNs often rely on aggregating information from adjacent n…

cs.CR2024

Continuous Multi-Task Pre-training for Malicious URL Detection and Webpage Classification

Yujie Li, Yiwei Liu, Peiyue Li +2

Malicious URL detection and webpage classification are critical tasks in cybersecurity and information management. In recent years, extensive research has explored using BERT or si…

cs.CR2023

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

Peng Qian, Hanjie Wu, Zeren Du +7

As blockchain smart contracts become more widespread and carry more valuable digital assets, they become an increasingly attractive target for attackers. Over the past few years, s…

cs.CR2023

Fed-urlBERT: Client-side Lightweight Federated Transformers for URL Threat Analysis

Yujie Li, Yanbin Wang, Haitao Xu +4

In evolving cyber landscapes, the detection of malicious URLs calls for cooperation and knowledge sharing across domains. However, collaboration is often hindered by concerns over…

cs.CR2023

TransURL: Improving malicious URL detection with multi-layer Transformer encoding and multi-scale pyramid features

Ruitong Liu, Yanbin Wang, Zhenhao Guo +4

Machine learning progress is advancing the detection of malicious URLs. However, advanced Transformers applied to URLs face difficulties in extracting local information, character-…

cs.CR2023

PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network

Ruitong Liu, Yanbin Wang, Haitao Xu +4

The proliferation of malicious URLs has made their detection crucial for enhancing network security. While pre-trained language models offer promise, existing methods struggle with…