2 papers
cs.CV2025
Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training
Alan Mitkiy, James Smith, Myungseo wong +3
Adversarial training is among the most effective strategies for defending deep neural networks against adversarial examples. A key limitation of existing adversarial training appro…
cs.CV2025
Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer
Emma Collins, Myungseo wong, Kim Yun +2
Despite progress in geometry-aware domain adaptation, current methods such as GAMA still suffer from two unresolved issues: (1) insufficient disentanglement of task-relevant and ta…