2 papers
cs.LG2024
Privacy-preserving Universal Adversarial Defense for Black-box Models
Qiao Li, Cong Wu, Jing Chen +6
Deep neural networks (DNNs) are increasingly used in critical applications such as identity authentication and autonomous driving, where robustness against adversarial attacks is c…
cs.CV2024
Diverse Generation while Maintaining Semantic Coordination: A Diffusion-Based Data Augmentation Method for Object Detection
Sen Nie, Zhuo Wang, Xinxin Wang +1
Recent studies emphasize the crucial role of data augmentation in enhancing the performance of object detection models. However,existing methodologies often struggle to effectively…