5 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
MINES: Explainable Anomaly Detection through Web API Invariant Inference
Wenjie Zhang, Yun Lin, Chun Fung Amos Kwok +5
Detecting the anomalies of web applications, important infrastructures for running modern companies and governments, is crucial for providing reliable web services. Many modern web…
DRIP: Defending Prompt Injection via Token-wise Representation Editing and Residual Instruction Fusion
Ruofan Liu, Yun Lin, Zhiyong Huang +1
Large language models (LLMs) are increasingly integrated into IT infrastructures, where they process user data according to predefined instructions. However, conventional LLMs rema…
PiMRef: Deducing Ever-evolving Spear-phishing Emails with Knowledge Base Invariants
Ruofan Liu, Yun Lin, Yuxin Wang +5
Phishing email is a critical step in the cybercrime kill chain due to the high reachability of victims' email accounts and the low cost of launching phishing campaigns. This ever-e…
GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs
Ruofan Liu, Xiwen Teoh, Yun Lin +4
In this work, we propose GUIPilot, an approach for detecting inconsistencies between the mobile design and their implementations. The mobile design usually consists of design mock-…
On the Account Security Risks Posed by Password Strength Meters
Ming Xu, Weili Han, Jitao Yu +4
Password strength meters (PSMs) have been widely used by websites to gauge password strength, encouraging users to create stronger passwords. Popular data-driven PSMs, e.g., based…