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Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl. Gunter and Bo Li · 2021
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“Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data”
Nicolas Papernot, Martin Abadi, Ulfar Erlingsson, Ian Goodfellow and Kunal Talwar · 2017
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“Privbayes: Private data release via bayesian networks”
Jun Zhang, Graham Cormode, Cecilia Procopiuc, Divesh Srivastava and Xiaokui Xiao · 2017
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“Differentially Private Generative Adversarial Network”, 2018
Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang and Jiayu Zhou · 2018
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“Differentially Private Data Generative Models”, 2018
Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaarfar and Haojin Zhu · 2018
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“Differentially private mixture of generative neural networks”
Gergely Acs, Luca Melis, Claude Castelluccia and Emiliano De · 2018
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“Which training methods for GANs do actually converge?”
Lars Mescheder, Andreas Geiger and Sebastian Nowozin · 2018
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“Scalable differential privacy with sparse network finetuning”
Zelun Luo, Daniel Wu, Ehsan Adeli and Li Fei-Fei · 2021
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“DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-preserving Data Generation”
Frederik Harder, Kamil Adamczewski and Mijung Park · 2021
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“Datalens: Scalable privacy preserving training via gradient compression and aggregation”
Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang and Bo Li · 2021
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“Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence”
Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler and Karsten Kreis · 2021
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“Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation”
Chris Waites and Rachel Cummings · 2021
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“PrivSyn: Differentially Private Data Synthesis”
Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen and Yang Zhang · 2021
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“Differentially Private Fine-tuning of Language Models”
Da Yu et al · 2022
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“Large Language Models Can Be Strong Differentially Private Learners”
Xuechen Li, Florian Tramer, Percy Liang and Tatsunori Hashimoto · 2022
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“A Fine-Grained Analysis on Distribution Shift”
Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham and Ali Cemgil · 2022
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