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cs.CV2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
Levente Halmosi, Bálint Mohos, Márk Jelasity
Machine learning models are vulnerable to tiny adversarial input perturbations optimized to cause a very large output error. To measure this vulnerability, we need reliable methods…
cs.CV2023★ 1 cited
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
Levente Halmosi, Mark Jelasity
Achieving robustness against adversarial input perturbation is an important and intriguing problem in machine learning. In the area of semantic image segmentation, a number of adve…