Twitter spam detection based on deep learning. - Tingmin Wu; Shigang Liu; Jun Zhang 010; Yang Xiang 001 (ACSW, 2017)

How Spam Features Change in Twitter and the Impact to Machine Learning Based Detection. - Tingmin Wu; Derek Wang; Sheng Wen; Yang Xiang 001 (ISPEC, 2017)

Detecting spamming activities in twitter based on deep-learning technique. - Tingmin Wu; Sheng Wen; Shigang Liu; Jun Zhang 010; Yang Xiang 001; Majed A. AlRubaian; Mohammad Mehedi Hassan (Concurr. Comput. Pract. Exp., 2017)

Twitter spam detection: Survey of new approaches and comparative study. - Tingmin Wu; Sheng Wen; Yang Xiang 001; Wanlei Zhou 001 (Comput. Secur., 2018)

Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps. - Tingmin Wu; Lihong Tang; Zhiyu Xu; Sheng Wen; Cécile Paris; Surya Nepal; Marthie Grobler; Yang Xiang 001 (CoRR, 2018)

Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks. - Derek Wang; Tingmin Wu; Sheng Wen; Donghai Liu; Yang Xiang 001; Wanlei Zhou 001; Houcine Hassan; Abdulhameed Alelaiwi (J. Comput. Sci., 2018)

Every word is valuable: Studied influence of negative words that spread during election period in social media. - Xiangyu Hu 006; Lemin Li; Tingmin Wu; Xiaoxiang Ai; Jie Gu; Sheng Wen (Concurr. Comput. Pract. Exp., 2019)

Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps. - Tingmin Wu; Lihong Tang; Rongjunchen Zhang; Sheng Wen; Cécile Paris; Surya Nepal; Marthie Grobler; Yang Xiang 001 (ACM Trans. Cyber Phys. Syst., 2019)

STC: Exposing Hidden Compromised Devices in Networked Sustainable Green Smart Computing Platforms by Partial Observation. - Derek Wang; Tingmin Wu; Sheng Wen; Xiaofeng Chen 001; Yang Xiang 001; Wanlei Zhou 001 (IEEE Trans. Sustain. Comput., 2019)

What risk? I don't understand. An Empirical Study on Users' Understanding of the Terms Used in Security Texts. - Tingmin Wu; Rongjunchen Zhang; Wanlun Ma; Sheng Wen; Xin Xia 001; Cécile Paris; Surya Nepal; Yang Xiang 001 (AsiaCCS, 2020)

RAIDER: Reinforcement-aided Spear Phishing Detector. - Keelan Evans; Alsharif Abuadbba; Mohiuddin Ahmed; Tingmin Wu; Mike Johnstone; Surya Nepal (CoRR, 2021)

Email Summarization to Assist Users in Phishing Identification. - Amir Kashapov; Tingmin Wu; Sharif Abuadbba; Carsten Rudolph (AsiaCCS, 2022)

Profiler: Distributed Model to Detect Phishing. - Mariya Shmalko; Alsharif Abuadbba; Raj Gaire 001; Tingmin Wu; Hye-Young Paik; Surya Nepal (ICDCS, 2022)

RAIDER: Reinforcement-Aided Spear Phishing Detector. - Keelan Evans; Alsharif Abuadbba; Tingmin Wu; Kristen Moore; Mohiuddin Ahmed; Ganna Pogrebna; Surya Nepal; Mike Johnstone (NSS, 2022)

Profiler: Profile-Based Model to Detect Phishing Emails. - Mariya Shmalko; Alsharif Abuadbba; Raj Gaire 001; Tingmin Wu; Hye-Young Paik; Surya Nepal (CoRR, 2022)

Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. - Tingmin Wu; Wanlun Ma; Sheng Wen; Xin Xia 001; Cécile Paris; Surya Nepal; Yang Xiang 001 (ACM Trans. Internet Techn., 2022)

Investigating Users' Understanding of Privacy Policies of Virtual Personal Assistant Applications. - Baiqi Chen; Tingmin Wu; Yanjun Zhang; Mohan Baruwal Chhetri; Guangdong Bai (AsiaCCS, 2023)

Dynalogue: A Transformer-Based Dialogue System with Dynamic Attention. - Rongjunchen Zhang; Tingmin Wu; Xiao Chen 002; Sheng Wen; Surya Nepal; Cécile Paris; Yang Xiang 001 (WWW, 2023)

Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. - Haonan Zhong; Jiamin Chang; Ziyue Yang; Tingmin Wu; Mahawaga Arachchige Pathum Chamikara; Chehara Pathmabandu; Minhui Xue 001 (WWW (Companion Volume), 2023)

How Does Visualisation Help App Practitioners Analyse Android Apps? - Lihong Tang; Tingmin Wu; Xiao Chen 002; Sheng Wen; Li Li 029; Xin Xia 001; Marthie Grobler; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2023)

SAM: Multi-turn Response Selection Based on Semantic Awareness Matching. - Rongjunchen Zhang; Tingmin Wu; Sheng Wen; Surya Nepal; Cécile Paris; Yang Xiang 001 (ACM Trans. Internet Techn., 2023)

Utilizing Large Language Models with Human Feedback Integration for Generating Dedicated Warning for Phishing Emails. - Quan Hong Nguyen; Tingmin Wu; Van Nguyen 002; Xingliang Yuan; Jason Xue 002; Carsten Rudolph (SecTL@AsiaCCS, 2024)

How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse. - Lihong Tang; Tingmin Wu; Xiao Chen 002; Sheng Wen; Wei Zhou 044; Xiaogang Zhu 001; Yang Xiang 001 (Connect. Sci., 2024)

A Pioneering Study and An Innovative Information Theory-based Approach to Enhance The Transparency in Phishing Detection. - Van Nguyen 002; Tingmin Wu; Xingliang Yuan; Marthie Grobler; Surya Nepal; Carsten Rudolph (CoRR, 2024)

Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? - Van Nguyen 002; Xingliang Yuan; Tingmin Wu; Surya Nepal; Marthie Grobler; Carsten Rudolph (CoRR, 2024)

SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection. - Van Nguyen 002; Surya Nepal; Tingmin Wu; Xingliang Yuan; Carsten Rudolph (CoRR, 2024)

Adapting to Cyber Threats: A Phishing Evolution Network (PEN) Framework for Phishing Generation and Analyzing Evolution Patterns using Large Language Models. - Fengchao Chen; Tingmin Wu; Van Nguyen 002; Shuo Wang 012; Hongsheng Hu; Alsharif Abuadbba; Carsten Rudolph (CoRR, 2024)

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System. - Shuiqiao Yang; Tingmin Wu; Shigang Liu; David Nguyen; Seung Ick Jang; Alsharif Abuadbba (CoRR, 2024)

AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks. - Van Nguyen 002; Tingmin Wu; Xingliang Yuan; Marthie Grobler; Surya Nepal; Carsten Rudolph (ICLR, 2025)

Semantics-Aware Cookie Purpose Compliance. - Baiqi Chen; Jiawei Lyu; Tingmin Wu; Mohan Baruwal Chhetri; Guangdong Bai (WWW, 2025)

CyberLLaMA: A fine-tuned large language model for cybersecurity named entity recognition. - Hao Zhang; Tingmin Wu; Tianqing Zhu; Sheng Wen; Yang Xiang 001 (Knowl. Based Syst., 2025)

LLMs Are Not Yet Ready for Deepfake Image Detection. - Shahroz Tariq; David Nguyen; M. A. P. Chamikara; Tingmin Wu; Alsharif Abuadbba; Kristen Moore (CoRR, 2025)