Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data

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Kellaris, G., Papadopoulos, S., Xiao, X., Papadias, D.: Differentially private event sequences over infinite streams. Proc. VLDB Endow. 7

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Abadi, M., Chu, A., Goodfellow, I., McMahan, B., Mironov, I., Talwar, K., Zhang, L.: Deep learning with differential privacy. In: 23rd ACM Conference on Computer and Communications Security (ACM CCS). pp. 308–318 (2016), https://arxiv.org/abs/1607.00133

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Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In: Lee, D.D., Sugiyama, M., Luxburg, U.V., Guyon, I., Garnett, R. (eds.) Advances in Neural Information Processing Systems 29, pp. 2172–2180. Curran Associates, Inc. (2016)

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Geng, Q., Viswanath, P.: The optimal noise-adding mechanism in differential privacy. IEEE Transactions on Information Theory 62

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Papernot, N., Abadi, M., Erlingsson, Ú., Goodfellow, I.J., Talwar, K.: Semi-supervised knowledge transfer for deep learning from private training data. CoRR abs/1610.05755

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2016

Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: Improved training of wasserstein gans. In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. (eds.) Advances in Neural Information Processing Systems 30, pp. 5767–5777. Curran Associates, Inc. (2017), http://papers.nips.cc/paper/7159-improved-training-of-wasserstein-gans.pdf

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Juefei-Xu, F., Boddeti, V.N., Savvides, M.: Gang of gans: Generative adversarial networks with maximum margin ranking. CoRR abs/1704.04865

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2017

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Shokri, R., Stronati, M., Song, C., Shmatikov, V.: Membership inference attacks against machine learning models. In: 2017 IEEE Symposium on Security and Privacy (SP). pp. 3–18 (May 2017). https://doi.org/10.1109/SP.2017.41

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Zhang, J., Cormode, G., Procopiuc, C.M., Srivastava, D., Xiao, X.: Privbayes: Private data release via bayesian networks. ACM Trans. Database Syst. 42