Publications
Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, and Beng Chin Ooi. 2024. “Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective”. IEEE Transactions on Information Forensics and Security. 19 (2024), 8109–8124.
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, and Bolin Ding. 2024. “AAA: An Adaptive Mechanism for Locally Differentially Private Mean Estimation.” Proc. VLDB Endowment. Vol.17, 8 (April 2024), 1843–1855.
Wang, Bo, Xiaohan Wu, Fei Wang, Yushu Zhang, Fei Wei, and Zengren Song. “Spatial-frequency feature fusion based deepfake detection through knowledge distillation.” Engineering Applications of Artificial Intelligence 133 (2024): 108341.
Wang, Bo, Jiayao Hou, Fei Wei, Fei Yu, and Weiming Zheng. “MDM-CPS: a few-shot sample approach for source camera identification.” Expert Systems with Applications 229 (2023): 120315.
Wang, Bo, Xiaohan Wu, Yeling Tang, Yanyan Ma, Zihao Shan, and Fei Wei. “Frequency domain filtered residual network for deepfake detection.” Mathematics 11, no. 4 (2023): 816.
Zhao, Mengnan, Xiaorui Dai, Bo Wang, Fei Yu, and Fei Wei. “Further understanding towards sparsity adversarial attacks.” In International Conference on Artificial Intelligence and Security, pp. 200-212. Cham: Springer International Publishing, 2022.
Wang, Bo, Shiqi Wu, Fei Wei, Yue Wang, Jiayao Hou, and Xue Sui. “Virtual sample generation for few-shot source camera identification.” Journal of Information Security and Applications 66 (2022).
Wang, Bo, Jiayao Hou, Yanyan Ma, Fei Wang, and Fei Wei. “Multi-DS Strategy for Source Camera Identification in Few-Shot Sample Data Sets.” Security and Communication Networks 2022 (2022).
Alghamdi, Wael, Shahab Asoodeh, Flavio P. Calmon, Juan Felipe Gomez, Oliver Kosut, Lalitha Sankar, and Fei Wei. “The Saddle-Point Accountant for Differential Privacy.” arXiv preprint arXiv:2208.09595 (2022).
Alghamdi, Wael, Shahab Asoodeh, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar, and Fei Wei. “Cactus mechanisms: Optimal differential privacy mechanisms in the large-composition regime.” In 2022 IEEE International Symposium on Information Theory (ISIT), pp. 1838-1843. IEEE, 2022.
Wang, Bo, Shiqi Wu, Fei Wei, Yue Wang, Jiayao Hou, and Xue Sui. “Virtual sample generation for few-shot source camera identification.” Journal of Information Security and Applications 66 (2022): 103153.
Wei, Fei, and Oliver Kosut. “A wringing-based proof of a second-order converse for the multiple-access channel under maximal error probability.” In 2021 IEEE International Symposium on Information Theory (ISIT), pp. 2220-2225. IEEE, 2021.
Zhang, Guowen, Bo Wang, Fei Wei, Kaize Shi, Yue Wang, Xue Sui, and Meineng Zhu. “Source camera identification for re-compressed images: A model perspective based on tri-transfer learning.” Computers & Security 100 (2021): 102076.
Wang, Bo, Mengnan Zhao, Wei Wang, Fei Wei, Zhan Qin, and Kui Ren. “Are you confident that you have successfully generated adversarial examples?.” IEEE Transactions on Circuits and Systems for Video Technology 31, no. 6 (2020): 2089-2099.
Wei, Fei. “A Structural Study of Network Coding Through the Lens of Group Theory.” Ph.D. dissertation., State University of New York at Buffalo, 2020.
Wei, Fei, Michael Langberg, and Michelle Effros. “Towards an operational definition of group network codes.” arXiv preprint arXiv:2002.00781 (2020).
Zhao, Mengnan, Bo Wang, Fei Wei, Meineng Zhu, and Xue Sui. “Source camera identification based on coupling coding and adaptive filter.” IEEE Access 8 (2019): 54431-54440.
Wei, Fei, Michael Langberg, and Michelle Effros. “A local perspective on the edge removal problem.” In 2019 IEEE International Symposium on Information Theory (ISIT), pp. 191-195. IEEE, 2019.
Wei, Fei, and Michael Langberg. “The effect of removing a network communication edge: group network codes.” In 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 134-141. IEEE, 2017.