5 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
Efficient Adversarial Training via Criticality-Aware Fine-Tuning
Wenyun Li, Zheng Zhang, Dongmei Jiang +2
Vision Transformer (ViT) models have achieved remarkable performance across various vision tasks, with scalability being a key advantage when applied to large datasets. This scalab…
Off-the-shelf Vision Models Benefit Image Manipulation Localization
Zhengxuan Zhang, Keji Song, Junmin Hu +2
Image manipulation localization (IML) and general vision tasks are typically treated as two separate research directions due to the fundamental differences between manipulation-spe…
PolaFormer: Polarity-aware Linear Attention for Vision Transformers
Weikang Meng, Yadan Luo, Xin Li +2
Linear attention has emerged as a promising alternative to softmax-based attention, leveraging kernelized feature maps to reduce complexity from quadratic to linear in sequence len…
Transferable Adversarial Face Attack with Text Controlled Attribute
Wenyun Li, Zheng Zhang, Xiangyuan Lan +1
Traditional adversarial attacks typically produce adversarial examples under norm-constrained conditions, whereas unrestricted adversarial examples are free-form with semantically…