2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Comparative Insights on Adversarial Machine Learning from Industry and Academia: A User-Study Approach
Vishruti Kakkad, Paul Chung, Hanan Hibshi +1
An exponential growth of Machine Learning and its Generative AI applications brings with it significant security challenges, often referred to as Adversarial Machine Learning (AML)…
Evidence of Cognitive Biases in Capture-the-Flag Cybersecurity Competitions
Carolina Carreira, Anu Aggarwal, Alejandro Cuevas +3
Understanding how cognitive biases influence adversarial decision-making is essential for developing effective cyber defenses. Capture-the-Flag (CTF) competitions provide an ecolog…
Observations From an Online Security Competition and Its Implications on Crowdsourced Security
Alejandro Cuevas, Emma Hogan, Hanan Hibshi +1
The crowd sourced security industry, particularly bug bounty programs, has grown dramatically over the past years and has become the main source of software security reviews for ma…