A Quantifying Approach for Evaluating Differential Privacy in Deep Learning

Lihua Yin, Yang Lv, Zhe Sun, Fuqiang Tao, Ran Li. A Quantifying Approach for Evaluating Differential Privacy in Deep Learning. In IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022. pages 2272-2278, IEEE, 2022. [doi]

@inproceedings{YinLSTL22,
  title = {A Quantifying Approach for Evaluating Differential Privacy in Deep Learning},
  author = {Lihua Yin and Yang Lv and Zhe Sun and Fuqiang Tao and Ran Li},
  year = {2022},
  doi = {10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00323},
  url = {https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00323},
  researchr = {https://researchr.org/publication/YinLSTL22},
  cites = {0},
  citedby = {0},
  pages = {2272-2278},
  booktitle = {IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022},
  publisher = {IEEE},
  isbn = {979-8-3503-4655-8},
}