暂无分享,去创建一个
[1] Tim Roughgarden,et al. Privately Solving Linear Programs , 2014, ICALP.
[2] Shay Moran,et al. Private Center Points and Learning of Halfspaces , 2019, COLT.
[3] Thomas Steinke,et al. Composable and versatile privacy via truncated CDP , 2018, STOC.
[4] Noga Alon,et al. Private PAC learning implies finite Littlestone dimension , 2018, STOC.
[5] Cynthia Dwork,et al. Calibrating Noise to Sensitivity in Private Data Analysis , 2006, TCC.
[6] Guy N. Rothblum,et al. Boosting and Differential Privacy , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[7] Santosh S. Vempala,et al. A simple polynomial-time rescaling algorithm for solving linear programs , 2004, STOC '04.
[8] Kobbi Nissim,et al. Differentially Private Release and Learning of Threshold Functions , 2015, 2015 IEEE 56th Annual Symposium on Foundations of Computer Science.
[9] Huy L. Nguyen,et al. Efficient Private Algorithms for Learning Halfspaces , 2019, ArXiv.
[10] Vitaly Feldman,et al. Sample Complexity Bounds on Differentially Private Learning via Communication Complexity , 2014, SIAM J. Comput..
[11] Michael Kearns,et al. Efficient noise-tolerant learning from statistical queries , 1993, STOC.
[12] Haim Kaplan,et al. Privately Learning Thresholds: Closing the Exponential Gap , 2019, COLT.
[13] Amos Beimel,et al. Private Learning and Sanitization: Pure vs. Approximate Differential Privacy , 2013, APPROX-RANDOM.
[14] David Haussler,et al. Learnability and the Vapnik-Chervonenkis dimension , 1989, JACM.
[15] Moni Naor,et al. Our Data, Ourselves: Privacy Via Distributed Noise Generation , 2006, EUROCRYPT.
[16] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[17] Cynthia Dwork,et al. Differential privacy and robust statistics , 2009, STOC '09.
[18] Kunal Talwar,et al. Mechanism Design via Differential Privacy , 2007, 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07).
[19] Cynthia Dwork,et al. Practical privacy: the SuLQ framework , 2005, PODS.
[20] Sofya Raskhodnikova,et al. What Can We Learn Privately? , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.
[21] Adam D. Smith,et al. Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso , 2013, COLT.
[22] Amos Beimel,et al. Characterizing the sample complexity of private learners , 2013, ITCS '13.
[23] Roi Livni,et al. An Equivalence Between Private Classification and Online Prediction , 2020, 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS).
[24] Anand D. Sarwate,et al. Differentially Private Empirical Risk Minimization , 2009, J. Mach. Learn. Res..
[25] Raef Bassily,et al. Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds , 2014, 1405.7085.