吕锡香
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教授
- 性别：女
- 毕业院校：西安电子科技大学
- 学历：博士研究生毕业
- 学位：博士研究生毕业
- 在职信息：在岗
- 所在单位：网络与信息安全学院
- 入职时间： 2004-04-01
- 学科：网络空间安全
- 办公地点：南校区网络安全创新研究大楼B407
- 联系方式：0a72b25c30091f0b9b16f553fdb5448de6dad8208dc2b86098340cc57ff58cfea42d54ee1d883b93f5c28807e150f2d995811eea9972eb4d4a9d966be6f0ab425df32e91e5217fdb86e0c365ba018910ba327211eedb4e7dc7a4f34ea08454334074d068da2b8d4bee08070532bce24dd50679eaef25801d7ff4b4b023e8f29e
- 电子邮箱：0a72b25c30091f0b9b16f553fdb5448de6dad8208dc2b86098340cc57ff58cfea42d54ee1d883b93f5c28807e150f2d995811eea9972eb4d4a9d966be6f0ab425df32e91e5217fdb86e0c365ba018910ba327211eedb4e7dc7a4f34ea08454334074d068da2b8d4bee08070532bce24dd50679eaef25801d7ff4b4b023e8f29e
访问量：
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[1]Reconstructive Neuron Pruning for Backdoor Defense:ICML 2023
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[2]Xixiang Lyu,Non-interactive Key Establishment for Bundle Security Protocol of Space DTNs.[J]:IEEE Transactions on Information Forensics and Security,,9(1)
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[3]Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.[C]:ICLR 2021
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[4]Anti-Backdoor Learning: Training Clean Models on Poisoned Data:NeurIPS 2021
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[5]Peihai Jiang,Yige Li.Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models:the 39th Annual AAAI Conference on Artificial Intelligence,2025
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[6]Learning from Distinction: Mitigating Backdoors Using a Low-Capacity Model:the 32nd ACM International Conference on Multimedia,2024
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[7]Speechguard: Online Defense Against Backdoor Attacks on Speech Recognition Models:2024 International Joint Conference on Neural Networks, Ijcnn 2024,2024
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[8]Verfhs: Verifiable Image Retrieval on Forward Privacy in Blockchain-enabled Iot:IEEE Internet of Things Journal,2023,10(19):17465-17478
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[9]BCMIX: A Blockchain-based Dynamic Self-reconfigurable Mixnet:IEEE/ACM Transactions on Networking,2023,31(5):2222 – 2235
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[10]BCMIX: A Blockchain-based Dynamic Self-reconfigurable Mixnet:EEE/ACM Transactions on Networking,2023,31(5)
