44 citations · 256 across the 65 of their papers we have counts for
10 papers · 1 filter
ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Tingmin Wu, Shuiqiao Yang, Shigang Liu +3
Threat modeling is a crucial component of cybersecurity, particularly for industries such as banking, where the security of financial data is paramount. Traditional threat modeling…
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…
From Solitary Directives to Interactive Encouragement! LLM Secure Code Generation by Natural Language Prompting
Shigang Liu, Bushra Sabir, Seung Ick Jang +5
Large Language Models (LLMs) have shown remarkable potential in code generation, making them increasingly important in the field. However, the security issues of generated code hav…
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking
Alsharif Abuadbba, Nicholas Rhodes, Kristen Moore +3
Deep learning solutions in critical domains like autonomous vehicles, facial recognition, and sentiment analysis require caution due to the severe consequences of errors. Research…
Systematic Literature Review of AI-enabled Spectrum Management in 6G and Future Networks
Bushra Sabir, Shuiqiao Yang, David Nguyen +7
Artificial Intelligence (AI) has advanced significantly in various domains like healthcare, finance, and cybersecurity, with successes such as DeepMind's medical imaging and Tesla'…
A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers
Tom Roth, Inigo Jauregi Unanue, Alsharif Abuadbba +1
Text classifiers are vulnerable to adversarial examples -- correctly-classified examples that are deliberately transformed to be misclassified while satisfying acceptability constr…
An Investigation into Misuse of Java Security APIs by Large Language Models
Zahra Mousavi, Chadni Islam, Kristen Moore +2
The increasing trend of using Large Language Models (LLMs) for code generation raises the question of their capability to generate trustworthy code. While many researchers are expl…
SoK: Can Trajectory Generation Combine Privacy and Utility?
Erik Buchholz, Alsharif Abuadbba, Shuo Wang +2
While location trajectories represent a valuable data source for analyses and location-based services, they can reveal sensitive information, such as political and religious prefer…
A Generative Adversarial Attack for Multilingual Text Classifiers
Tom Roth, Inigo Jauregi Unanue, Alsharif Abuadbba +1
Current adversarial attack algorithms, where an adversary changes a text to fool a victim model, have been repeatedly shown to be effective against text classifiers. These attacks,…
SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework
Binh M. Le, Jiwon Kim, Simon S. Woo +3
Deepfakes have rapidly emerged as a serious threat to society due to their ease of creation and dissemination, triggering the accelerated development of detection technologies. How…