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cs.CR2024
Hijacking Attacks against Neural Networks by Analyzing Training Data
Yunjie Ge, Qian Wang, Huayang Huang +7
Backdoors and adversarial examples are the two primary threats currently faced by deep neural networks (DNNs). Both attacks attempt to hijack the model behaviors with unintended ou…
cs.CR2018★ 3 cited
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants
Lingchen Zhao, Qian Wang, Qin Zou +2
With powerful parallel computing GPUs and massive user data, neural-network-based deep learning can well exert its strong power in problem modeling and solving, and has archived gr…