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cs.CR2026
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)…
cs.CR2018
The Art, Science, and Engineering of Fuzzing: A Survey
Valentin J. M. Manes, HyungSeok Han, Choongwoo Han +4
Among the many software vulnerability discovery techniques available today, fuzzing has remained highly popular due to its conceptual simplicity, its low barrier to deployment, and…