Publications

1 Multidomain active defense: Detecting multidomain backdoor poisoned samples via ALL-to-ALL decoupling training without clean datasets

Published in Neural Networks, 2023

Recommended citation: Ma B, Wang J, Wang D, et al. Multidomain active defense: Detecting multidomain backdoor poisoned samples via ALL-to-ALL decoupling training without clean datasets[J]. Neural Networks, 2023, 168: 350-362.

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2 DIHBA: Dynamic, invisible and high attack success rate boundary backdoor attack with low poison ratio

Published in Computers & Security, 2023

Recommended citation: Ma B, Zhao C, Wang D, et al. DIHBA: Dynamic, invisible and high attack success rate boundary backdoor attack with low poison ratio[J]. Computers & Security, 2023, 129: 103212.

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3 A secure and decentralized SSI authentication protocol with privacy protection and fine-grained access control based on federated blockchain

Published in Plos one, 2022

Recommended citation: Ma B, Zheng X, Zhao C, et al. A secure and decentralized SSI authentication protocol with privacy protection and fine-grained access control based on federated blockchain[J].Plos one, 2022, 17(9): e0274748.

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4 A Non-injected Traffic Backdoor Attack on Deep Neural Network

Published in International Journal of Network Security, 2023

Recommended citation: Wang J, Yang J, Ma B, et al. A Non-injected Traffic Backdoor Attack on Deep Neural Network[J]. International Journal of Network Security, 2023, 25(4): 640-648.

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5 Survey on cross-chain protocols of blockchain

Published in International Journal of Network Security, 2022

Recommended citation: Bo, M. E. N. G., Yibing, W. A. N. G., Can, Z. H. A. O., Dejun, W. A. N. G., & Binhao, M. A. (2022). Survey on cross-chain protocols of blockchain. Journal of Frontiers of Computer Science & Technology, 16(10), 2177.

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