272 citations · 774 across the 19 of their papers we have counts for
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cs.CR2023
Attacking logo-based phishing website detectors with adversarial perturbations
Jehyun Lee, Zhe Xin, Melanie Ng Pei See +3
Recent times have witnessed the rise of anti-phishing schemes powered by deep learning (DL). In particular, logo-based phishing detectors rely on DL models from Computer Vision to…
cs.CR2023★ 1 cited
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For Network Intrusion Detection (NID), however, scientific advances in ML are still seen with skep…