Ruofan Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
DRIP: Defending Prompt Injection via De-instruction Training and Residual Fusion Model Architecture.
CoRR, November, 2025

PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants.
CoRR, July, 2025


GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs.
Proc. ACM Softw. Eng., 2025

Are CAPTCHAs Still Bot-hard? Generalized Visual CAPTCHA Solving with Agentic Vision Language Model.
Proceedings of the 34th USENIX Security Symposium, 2025

2024
PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models.
Proceedings of the 33rd USENIX Security Symposium, 2024

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle.
CoRR, 2023

Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection.
Proceedings of the 32nd USENIX Security Symposium, 2023

On Transfer Learning for Naive Brain Computer Interface Users.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

DeepArc: Modularizing Neural Networks for the Model Maintenance.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach.
Proceedings of the 31st USENIX Security Symposium, 2022

Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages.
Proceedings of the 30th USENIX Security Symposium, 2021


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