暂无分享,去创建一个
[1] Guy N. Rothblum,et al. A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[2] Kunal Talwar,et al. On the geometry of differential privacy , 2009, STOC '10.
[3] Thomas Steinke,et al. Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation , 2019, NeurIPS.
[4] Y. Dagan,et al. A bounded-noise mechanism for differential privacy , 2020, COLT.
[5] Thomas Steinke,et al. Calibrating Noise to Variance in Adaptive Data Analysis , 2017, COLT.
[6] Vishesh Karwa,et al. Finite Sample Differentially Private Confidence Intervals , 2017, ITCS.
[7] Jonathan Ullman,et al. Private Mean Estimation of Heavy-Tailed Distributions , 2020, COLT.
[8] Aaron Roth,et al. The Algorithmic Foundations of Differential Privacy , 2014, Found. Trends Theor. Comput. Sci..
[9] Cynthia Dwork,et al. Calibrating Noise to Sensitivity in Private Data Analysis , 2016, J. Priv. Confidentiality.
[10] Moni Naor,et al. Differential privacy under continual observation , 2010, STOC '10.
[11] Jonathan Ullman,et al. CoinPress: Practical Private Mean and Covariance Estimation , 2020, NeurIPS.
[12] Tim Roughgarden,et al. Interactive privacy via the median mechanism , 2009, STOC '10.
[13] Cynthia Dwork,et al. Calibrating Noise to Sensitivity in Private Data Analysis , 2006, TCC.
[14] Moni Naor,et al. Our Data, Ourselves: Privacy Via Distributed Noise Generation , 2006, EUROCRYPT.
[15] Thomas Steinke,et al. Between Pure and Approximate Differential Privacy , 2015, J. Priv. Confidentiality.
[16] Moni Naor,et al. On the complexity of differentially private data release: efficient algorithms and hardness results , 2009, STOC '09.
[17] Arun Ganesh,et al. Privately Answering Counting Queries with Generalized Gaussian Mechanisms , 2020, ArXiv.
[18] Tim Roughgarden,et al. Universally utility-maximizing privacy mechanisms , 2008, STOC '09.
[19] Thomas Steinke,et al. Private Hypothesis Selection , 2019, IEEE Transactions on Information Theory.
[20] Guy N. Rothblum,et al. Boosting and Differential Privacy , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[21] Suhas N. Diggavi,et al. Shuffled Model of Differential Privacy in Federated Learning , 2021, AISTATS.