01 2023 档案
摘要：Gong, Xuan, et al. "Preserving privacy in federated learning with ensemble cross-domain knowledge distillation." Proceedings of the AAAI Conference on
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摘要：Wang, Xumeng, et al. "HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning." IEEE Transactions on Vi
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摘要：Kolesnikov, V. , et al. "Practical Multi-party Private Set Intersection from Symmetric-Key Techniques." Acm Sigsac Conference on Computer & Communicat
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摘要：Qz, A , et al. "Blockchain-based privacy-preserving remote data integrity checking scheme for IoT information systems - ScienceDirect." Information Pr
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摘要：Ofri Nevo, Ni Trieu and Avishay Yanai. "Simple, Fast Malicious Multiparty Private Set Intersection." In Proceedings of the 2021 ACM SIGSAC Conference
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摘要：Jun Liu, Yuan Tian, Yu Zhou et al. "Privacy preserving distributed data mining based on secure multi-party computation." Computer Communications. Ed.
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摘要："Carlini, Nicholas, et al. "Membership inference attacks from first principles." 2022 IEEE Symposium on Security and Privacy (SP). IEEE, 2022." 本文认为成员
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摘要："Jia, Jinyuan, and Neil Zhenqiang Gong. "AttriGuard: A practical defense against attribute inference attacks via adversarial machine learning." 27th U
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摘要："arXiv:2111.09679, 2021." 文章关注机器学习模型的隐私泄露问题，成员推理攻击：给出一条样本，可以推断该样本是否在模型的训练数据集中——即便对模型的参数、结构知之甚少，该攻击仍然有效。本质还是使用影子模型的方法训练攻击模型。但是针对攻击者不知道目标模型的训练集，文章提出了影子学
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摘要：X. Lei, A. X. Liu, R. Li and G. -H. Tu, "SecEQP: A Secure and Efficient Scheme for SkNN Query Problem Over Encrypted Geodata on Cloud," 2019 IEEE 35th
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摘要：Itahara, Sohei, et al. "Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private
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摘要：Li, Bowen, et al. "Fedipr: Ownership verification for federated deep neural network models." IEEE Transactions on Pattern Analysis and Machine Intelli
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摘要：Liu, Yugeng, et al. "ML-Doctor: Holistic risk assessment of inference attacks against machine learning models." arXiv preprint arXiv:2102.02551 (2021)
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摘要：Wang, Fengwei, et al. "A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent." Information
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摘要：Peng, Xiaokang, et al. "Balanced Multimodal Learning via On-the-fly Gradient Modulation." Proceedings of the IEEE/CVF Conference on Computer Vision an
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摘要：Devin Reich, Ariel Todoki, Rafael Dowsley, Martine De Cock, Anderson Nascimento. 2019. Privacy-Preserving Classification of Personal Text Messages wit
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摘要：Jonas Böhler and Florian Kerschbaum. 2020. Secure Multi-party Computation of Differentially Private Median. In the Proceedings of the 29th USENIX Secu
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