摘要：
"Jia, Jinyuan, and Neil Zhenqiang Gong. "AttriGuard: A practical defense against attribute inference attacks via adversarial machine learning." 27th U 阅读全文
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 阅读全文
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 阅读全文
摘要：
Itahara, Sohei, et al. "Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private 阅读全文
摘要：
Li, Bowen, et al. "Fedipr: Ownership verification for federated deep neural network models." IEEE Transactions on Pattern Analysis and Machine Intelli 阅读全文
摘要：
Liu, Yugeng, et al. "ML-Doctor: Holistic risk assessment of inference attacks against machine learning models." arXiv preprint arXiv:2102.02551 (2021) 阅读全文
摘要：
Wang, Fengwei, et al. "A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent." Information 阅读全文
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 阅读全文
摘要：
Devin Reich, Ariel Todoki, Rafael Dowsley, Martine De Cock, Anderson Nascimento. 2019. Privacy-Preserving Classification of Personal Text Messages wit 阅读全文
摘要：
Jonas Böhler and Florian Kerschbaum. 2020. Secure Multi-party Computation of Differentially Private Median. In the Proceedings of the 29th USENIX Secu 阅读全文