Haitao Xu

Orcid: 0000-0002-0353-3879

Affiliations:
  • Arizona State University, School of Mathematical and Natural Sciences, Glendale, USA
  • Zhejiang University, School of Cyber Science and Technology, China
  • College of William and Mary, VA, USA (PhD 2015)
  • Northwestern University, Evanston, IL, USA


According to our database1, Haitao Xu authored at least 27 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection.
Inf. Fusion, 2025

PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network.
Inf. Fusion, 2025

2024
CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains.
IEEE Trans. Mob. Comput., May, 2024

Source Code Vulnerability Detection: Combining Code Language Models and Code Property Graphs.
CoRR, 2024

Struggle with Adversarial Defense? Try Diffusion.
CoRR, 2024

TAGS: Real-time Intrusion Detection with Tag-Propagation-based Provenance Graph Alignment on Streaming Events.
CoRR, 2024

URLBERT: A Contrastive and Adversarial Pre-trained Model for URL Classification.
CoRR, 2024

TransURL: Improving malicious URL detection with multi-layer Transformer encoding and multi-scale pyramid features.
Comput. Networks, 2024

DDoSMiner: An Automated Framework for DDoS Attack Characterization and Vulnerability Mining.
Proceedings of the Applied Cryptography and Network Security, 2024

2023
Fed-urlBERT: Client-side Lightweight Federated Transformers for URL Threat Analysis.
CoRR, 2023

PyraTrans: Attention-Enriched Pyramid Transformer for Malicious URL Detection.
CoRR, 2023

Malicious URL Detection via Pretrained Language Model Guided Multi-Level Feature Attention Network.
CoRR, 2023

A Large-Scale Pretrained Deep Model for Phishing URL Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
snWF: Website Fingerprinting Attack by Ensembling the Snapshot of Deep Learning.
IEEE Trans. Inf. Forensics Secur., 2022

RATScope: Recording and Reconstructing Missing RAT Semantic Behaviors for Forensic Analysis on Windows.
IEEE Trans. Dependable Secur. Comput., 2022

2021
MAdLens: Investigating Into Android In-App Ad Practice at API Granularity.
IEEE Trans. Mob. Comput., 2021

A Study of the Partnership Between Advertisers and Publishers.
Proceedings of the Passive and Active Measurement - 22nd International Conference, 2021

2020
RiskCog: Unobtrusive Real-Time User Authentication on Mobile Devices in the Wild.
IEEE Trans. Mob. Comput., 2020

UIScope: Accurate, Instrumentation-free, and Visible Attack Investigation for GUI Applications.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2018
Internet Protocol Cameras with No Password Protection: An Empirical Investigation.
Proceedings of the Passive and Active Measurement - 19th International Conference, 2018

Privacy Risk Assessment on Email Tracking.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

An Investigation into Android In-App Ad Practice: Implications for App Developers.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Detecting and Characterizing Web Bot Traffic in a Large E-commerce Marketplace.
Proceedings of the Computer Security, 2018

2017
An Empirical Investigation of Ecommerce-Reputation-Escalation-as-a-Service.
ACM Trans. Web, 2017

2015
E-commerce Reputation Manipulation: The Emergence of Reputation-Escalation-as-a-Service.
Proceedings of the 24th International Conference on World Wide Web, 2015

Privacy Risk Assessment on Online Photos.
Proceedings of the Research in Attacks, Intrusions, and Defenses, 2015

2014
Click Fraud Detection on the Advertiser Side.
Proceedings of the Computer Security - ESORICS 2014, 2014


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