@article{bellovin2019privacy,
  title={Privacy and synthetic datasets},
  author={Bellovin, Steven M and Dutta, Preetam K and Reitinger, Nathan},
  journal={Stan. Tech. L. Rev.},
  volume={22},
  pages={1},
  year={2019},
  publisher={HeinOnline}
}

@inproceedings{ping2017datasynthesizer,
  title={Datasynthesizer: Privacy-preserving synthetic datasets},
  author={Ping, Haoyue and Stoyanovich, Julia and Howe, Bill},
  booktitle={Proceedings of the 29th International Conference on Scientific and Statistical Database Management},
  pages={1--5},
  year={2017}
}

@inproceedings{kuppa2021towards,
  title={Towards improving privacy of synthetic datasets},
  author={Kuppa, Aditya and Aouad, Lamine and Le-Khac, Nhien-An},
  booktitle={Annual Privacy Forum},
  pages={106--119},
  year={2021},
  organization={Springer}
}

@article{tai2023user,
  title={User-Driven Synthetic Dataset Generation with Quantifiable Differential Privacy},
  author={Tai, Bo-Chen and Tsou, Yao-Tung and Li, Szu-Chuang and Huang, Yennun and Tsai, Pei-Yuan and Tsai, Yu-Cheng},
  journal={IEEE Transactions on Services Computing},
  year={2023},
  publisher={IEEE}
}
@article{stadler2020synthetic,
  title={Synthetic data-A privacy mirage},
  author={Stadler, Theresa and Oprisanu, Bristena and Troncoso, Carmela},
  journal={arXiv preprint arXiv:2011.07018},
  year={2020},
  publisher={Nov}
}

@inproceedings{jordon2021hide,
  title={Hide-and-seek privacy challenge: Synthetic data generation vs. patient re-identification},
  author={Jordon, James and Jarrett, Daniel and Saveliev, Evgeny and Yoon, Jinsung and Elbers, Paul and Thoral, Patrick and Ercole, Ari and Zhang, Cheng and Belgrave, Danielle and van der Schaar, Mihaela},
  booktitle={NeurIPS 2020 Competition and Demonstration Track},
  pages={206--215},
  year={2021},
  organization={PMLR}
}

@inproceedings{abadi2016deep,
  title={Deep learning with differential privacy},
  author={Abadi, Martin and Chu, Andy and Goodfellow, Ian and McMahan, H Brendan and Mironov, Ilya and Talwar, Kunal and Zhang, Li},
  booktitle={Proceedings of the 2016 ACM SIGSAC conference on computer and communications security},
  pages={308--318},
  year={2016}
}

@inproceedings{shokri2017membership,
  title={Membership inference attacks against machine learning models},
  author={Shokri, Reza and Stronati, Marco and Song, Congzheng and Shmatikov, Vitaly},
  booktitle={2017 IEEE symposium on security and privacy (SP)},
  pages={3--18},
  year={2017},
  organization={IEEE}
}

@article{ding2021retiring,
  title={Retiring Adult: New Datasets for Fair Machine Learning},
  author={Ding, Frances and Hardt, Moritz and Miller, John and Schmidt, Ludwig},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  year={2021}
}

@inproceedings{zhifei2017cvpr,
  title={Age Progression/Regression by Conditional Adversarial Autoencoder},
  author={Zhang, Zhifei, Song, Yang, and Qi, Hairong},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017},
  organization={IEEE}
}
