36 citations · 93 across the 25 of their papers we have counts for
5 papers · 1 filter
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs
Philipp Gysel, Candid Wüest, Kenneth Nwafor +3
Securing endpoints is challenging due to the evolving nature of threats and attacks. With endpoint logging systems becoming mature, provenance-graph representations enable the crea…
Multimodal Large Language Models for Phishing Webpage Detection and Identification
Jehyun Lee, Peiyuan Lim, Bryan Hooi +1
To address the challenging problem of detecting phishing webpages, researchers have developed numerous solutions, in particular those based on machine learning (ML) algorithms. Amo…
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks
Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran +1
Phishing attacks attempt to deceive users into stealing sensitive information, posing a significant cybersecurity threat. Advances in machine learning (ML) and deep learning (DL) h…
LLMs for Cyber Security: New Opportunities
Dinil Mon Divakaran, Sai Teja Peddinti
Large language models (LLMs) are a class of powerful and versatile models that are beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber security…
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection
Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran +1
The widespread accessibility of the Internet has led to a surge in online fraudulent activities, underscoring the necessity of shielding users' sensitive information from cybercrim…