Search Results for author: Liu jun

Found 2 papers, 1 papers with code

DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space

1 code implementation26 Sep 2023 Liu jun, Zhou Jiantao, Zeng Jiandian, Jinyu Tian

In addition, due to the avoidance of using surrogate models' gradient information when optimizing AEs for black-box models, our proposed DifAttack inherently possesses better attack capability in the open-set scenario, where the training dataset of the victim model is unknown.

Disentanglement

A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network

no code implementations3 Aug 2023 Zhang Zhengyang, Dong Wei, Liu jun, Sun Xinya, Ji Yindong

This method obtains the training data of the prediction model based on the simulation model of the rail transit system with a three-layer structure including rail transit network, train flow and passenger flow.

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