3 citations · 4 across the 3 of their papers we have counts for
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cs.CR2023
"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages
Ajka Draganovic, Savino Dambra, Javier Aldana Iuit +2
Phishing websites are everywhere, and countermeasures based on static blocklists cannot cope with such a threat. To address this problem, state-of-the-art solutions entail the appl…
cs.CR2022★ 3 cited
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra +3
Recent years have seen a proliferation of research on adversarial machine learning. Numerous papers demonstrate powerful algorithmic attacks against a wide variety of machine learn…