Garbage in, garbage out: Poisoning attacks disguised with plausible mobility in data aggregation
Location data are often aggregated to support a wide range of applications, such as mobility
management, point-of-interest recommendation, map inferences, and so on. However, these …
management, point-of-interest recommendation, map inferences, and so on. However, these …
White-box Inference Attacks against Centralized Machine Learning and Federated Learning
J Ge - arXiv preprint arXiv:2301.03595, 2022 - arxiv.org
With the development of information science and technology, various industries have
generated massive amounts of data, and machine learning is widely used in the analysis of …
generated massive amounts of data, and machine learning is widely used in the analysis of …
Deep leakage from gradients
Y Mu - arXiv preprint arXiv:2301.02621, 2022 - arxiv.org
With the development of artificial intelligence technology, Federated Learning (FL) model
has been widely used in many industries for its high efficiency and confidentiality. Some …
has been widely used in many industries for its high efficiency and confidentiality. Some …
Holistic risk assessment of inference attacks in machine learning
Y Yang - arXiv preprint arXiv:2212.10628, 2022 - arxiv.org
As machine learning expanding application, there are more and more unignorable privacy
and safety issues. Especially inference attacks against Machine Learning models allow …
and safety issues. Especially inference attacks against Machine Learning models allow …
Membership Inference Attacks Against Latent Factor Model
D Hu - arXiv preprint arXiv:2301.03596, 2022 - arxiv.org
The advent of the information age has led to the problems of information overload and
unclear demands. As an information filtering system, personalized recommendation systems …
unclear demands. As an information filtering system, personalized recommendation systems …
An Improved Traffic Forecasting Model based on Efficient Spatiotemporal Graph Convolutional Network
B Li, M Wen - Proceedings of the 2023 12th International Conference …, 2023 - dl.acm.org
Traditional approaches often ignore spatial and temporal connections, which cannot match
the needs of forecasting assignments due to the extremely nonlinear and complicated …
the needs of forecasting assignments due to the extremely nonlinear and complicated …
Computational Task Offloading Scheme based on Deep Learning for Financial Big Data
W Zhonglin, Z Changjuan - 2021 16th International Conference …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) technology reduces the computing delay of wireless devices
by enabling devices offload resource-intensive financial big data computing tasks to the …
by enabling devices offload resource-intensive financial big data computing tasks to the …