3 papers
cs.CV2026
Season: Spectrum-Aware Orthogonal Gradient Refinement for Transfer-Based Adversarial Attacks
Tianyi Wang, Zhenghao Gao, Shengjie Xu
Transfer-based adversarial attacks often transfer poorly across heterogeneous architectures because CNNs favor local textures while Vision Transformers (ViTs) rely on global shapes…
cs.IT2026
Knowledge Distillation Driven Semantic NOMA for Image Transmission with Diffusion Model
Qifei Wang, Zhen Gao, Shuo Sun +3
As a promising 6G enabler beyond conventional bit-level transmission, semantic communication can considerably reduce required bandwidth resources, while its combination with multip…
cs.CV2024
Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation
Zhenghao Gao, Shengjie Xu, Meixi Chen +1
Contemporary adversarial attack methods face significant limitations in cross-model transferability and practical applicability. We present Watertox, an elegant adversarial attack…