49 citations · 73 across the 13 of their papers we have counts for
13 papers
When External Threats Become User Context: Tricking Agents into Accepting Malicious Information
Fengchao Chen, Tingmin Wu, Van Nguyen +3
Autonomous LLM agents receive task goals through user requests, but these requests may also relay untrusted external information. We study source relocation, where an externally av…
MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
Van Nguyen, Surya Nepal, Xingliang Yuan +3
Software vulnerabilities (SVs) pose a critical threat to safety-critical systems, driving the adoption of AI-based approaches such as machine learning and deep learning for softwar…
SoK: Systematizing Generation, Characteristics, and Defenses in LLM-Generated Phishing
Fengchao Chen, Tingmin Wu, Van Nguyen +1
The rapid advancement of Large Language Models (LLMs), with their growing abuse in phishing, has enabled phishing content, including deceptive pretexts and other persuasive element…
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
Fengchao Chen, Tingmin Wu, Van Nguyen +3
Phishing remains a pervasive cyber threat, as attackers craft deceptive emails to lure victims into revealing sensitive information. While Artificial Intelligence (AI), in particul…
SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection
Van Nguyen, Surya Nepal, Tingmin Wu +2
Software vulnerabilities (SVs) have emerged as a prevalent and critical concern for safety-critical security systems. This has spurred significant advancements in utilizing AI-base…
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?
Van Nguyen, Xingliang Yuan, Tingmin Wu +3
Software vulnerabilities (SVs) have become a common, serious, and crucial concern to safety-critical security systems. That leads to significant progress in the use of AI-based met…
An Innovative Information Theory-based Approach to Tackle and Enhance The Transparency in Phishing Detection
Van Nguyen, Tingmin Wu, Xingliang Yuan +3
Phishing attacks have become a serious and challenging issue for detection, explanation, and defense. Despite more than a decade of research on phishing, encompassing both technica…
Copyright Protection and Accountability of Generative AI:Attack, Watermarking and Attribution
Haonan Zhong, Jiamin Chang, Ziyue Yang +4
Generative AI (e.g., Generative Adversarial Networks - GANs) has become increasingly popular in recent years. However, Generative AI introduces significant concerns regarding the p…
Profiler: Profile-Based Model to Detect Phishing Emails
Mariya Shmalko, Alsharif Abuadbba, Raj Gaire +3
Email phishing has become more prevalent and grows more sophisticated over time. To combat this rise, many machine learning (ML) algorithms for detecting phishing emails have been…
Email Summarization to Assist Users in Phishing Identification
Amir Kashapov, Tingmin Wu, Alsharif Abuadbba +1
Cyber-phishing attacks recently became more precise, targeted, and tailored by training data to activate only in the presence of specific information or cues. They are adaptable to…
RAIDER: Reinforcement-aided Spear Phishing Detector
Keelan Evans, Alsharif Abuadbba, Tingmin Wu +5
Spear Phishing is a harmful cyber-attack facing business and individuals worldwide. Considerable research has been conducted recently into the use of Machine Learning (ML) techniqu…
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity
Tingmin Wu, Wanlun Ma, Sheng Wen +4
Computer users are generally faced with difficulties in making correct security decisions. While an increasingly fewer number of people are trying or willing to take formal securit…
Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps
Tingmin Wu, Lihong Tang, Rongjunchen Zhang +5
Android users are increasingly concerned with the privacy of their data and security of their devices. To improve the security awareness of users, recent automatic techniques produ…