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- W3162525925 abstract "Design of general cluster data association mining algorithm based on Multi-GANs is studied in this paper. This article has tested this framework in a variety of environments. Experiments show that the method in this paper can achieve a higher attack success rate for targetless attacks in a white box environment, and it also has a certain attack effect in targeted attacks. The proposed research work considers the GANs, the clustering and the roles of association mining. In the process of error back propagation, the weight and threshold of the network are continuously adjusted to achieve the output that meets the set error. We improve the error coding model to enhance the performance. The experiment results have proven the results." @default.
- W3162525925 created "2021-05-24" @default.
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- W3162525925 date "2021-04-08" @default.
- W3162525925 modified "2023-09-23" @default.
- W3162525925 title "Design of Cluster Data Association Mining Algorithm Based on Multi-GANs" @default.
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- W3162525925 doi "https://doi.org/10.1109/iccmc51019.2021.9418322" @default.
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