19 citations · 39 across the 4 of their papers we have counts for
4 papers
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang, Tong Sun, Shenghong Li +4
Adversarial attacks and defenses in machine learning and deep neural network have been gaining significant attention due to the rapidly growing applications of deep learning in the…
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning
Xin Yuan, Wei Ni, Ming Ding +3
While preserving the privacy of federated learning (FL), differential privacy (DP) inevitably degrades the utility (i.e., accuracy) of FL due to model perturbations caused by DP no…
When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds
Kai Li, Yingping Cui, Weicai Li +6
In recent years, the Internet of Things (IoT) is studied in the context of the Metaverse to provide users immersive cyber-virtual experiences in mixed reality environments. This su…
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models
Yulong Wang, Minghui Zhao, Shenghong Li +2
Typical deep neural network (DNN) backdoor attacks are based on triggers embedded in inputs. Existing imperceptible triggers are computationally expensive or low in attack success.…