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Menghao Deng

2 accepted papers

2026

Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness

ICASSP 2026poster

Existing segmentation models exhibit significant vulnerability to adversarial attacks.To improve robustness, adversarial training incorporates adversarial examples into model training. However, existing attack methods consider only global semantic information and ignore contextual semantic relations…

Cited by 0SourcePDFScholar
2025

PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation

ICASSP 2025accepted

With the rapid advancement of deep learning, the model robustness has become a significant research hotspot, i.e., adversarial attacks on deep neural networks. Existing works primarily focus on image classification tasks, aiming to alter the model’s predicted labels. Due to the output complexity and…

Cited by 0SourceScholar