ICPR · 2026
Computer Vision systems exhibit significant performance degradation under localized visual distortions, such as lens flare, occlusion, or sensor artifacts, that selectively affect …
ICISS · 2024
Malware detection traditionally relies on signature-based approaches, which suffer from limited generalization. To mitigate this issue, machine learning (ML)-based detection …
ACM AsiaCCS · 2024
We propose a novel speech keyword spotting mechanism which is robust against attacks exploiting the inherent vulnerabilities of an ML model in correctly classifying the spoken …
IEEE/IFIP DSN-S · 2024
While adversarial machine learning (AML) attacks have become prevalent in the computer vision (CV) domain, their applications in other domains, such as network intrusion detection …
ECAI · 2023
We propose a novel Semantic-Preserving Adversarial Transformation (SPAT) framework which facilitates an advantageous trade-off between the attack success rate and the perceptual …