3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CR2025
FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks
Jian Chen, Zehui Lin, Wanyu Lin +3
Recently, the practical needs of ``the right to be forgotten'' in federated learning gave birth to a paradigm known as federated unlearning, which enables the server to forget pers…
cs.CV2019
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense
Lingyun Jiang, Kai Qiao, Ruoxi Qin +4
In image classification of deep learning, adversarial examples where inputs intended to add small magnitude perturbations may mislead deep neural networks (DNNs) to incorrect resul…
cs.DB2014★ 3 cited
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index
Yue Liu, Songlin Hu, Tilmann Rabl +5
In Smart Grid applications, as the number of deployed electric smart meters increases, massive amounts of valuable meter data is generated and collected every day. To enable reliab…