Subhash Sankuratripati

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All published works

Action	Title	Year	Authors
+	Differentially-Private "Draw and Discard" Machine Learning	2018	Vasyl Pihur Aleksandra Korolova Frederick Liu Subhash Sankuratripati Moti Yung Dachuan Huang Ruogu Zeng

Common Coauthors

Coauthor	Papers Together
Aleksandra Korolova	1
Moti Yung	1
Frederick Liu	1
Vasyl Pihur	1
Ruogu Zeng	1
Dachuan Huang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Privacy via the Johnson-Lindenstrauss Transform	2013	Krishnaram Kenthapadi Aleksandra Korolova Ilya Mironov Nina Mishra	1
+ PDF Chat	On sampling, anonymization, and differential privacy or, <i>k</i> -anonymization meets differential privacy	2012	Ninghui Li Wahbeh Qardaji Dong Su	1
+	Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds	2016	Mark Bun Thomas Steinke	1
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	1
+ PDF Chat	Rényi Differential Privacy	2017	Ilya Mironov	1
+	Privacy in Information-Rich Intelligent Infrastructure	2017	Cynthia Dwork George J. Pappas	1
+	Practical Locally Private Heavy Hitters	2017	Raef Bassily Kobbi Nissim Uri Stemmer Abhradeep Thakurta	1
+	Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12	2017	Tang Jun Aleksandra Korolova Xiaolong Bai Xueqiang Wang XiaoFeng Wang	1
+	Rényi Differential Privacy Mechanisms for Posterior Sampling	2017	Joseph Geumlek Shuang Song Kamalika Chaudhuri	1
+	Learning Differentially Private Language Models Without Losing Accuracy	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	1
+	Heavy Hitters and the Structure of Local Privacy	2017	Mark Bun Jelani Nelson Uri Stemmer	1
+	Scalable Private Learning with PATE	2018	Nicolas Papernot Shuang Song Ilya Mironov Ananth Raghunathan Kunal Talwar Úlfar Erlingsson	1
+	Revisiting Small Batch Training for Deep Neural Networks	2018	Dominic Masters Carlo Luschi	1
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	1
+	Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data	2016	Nicolas Papernot Martı́n Abadi Úlfar Erlingsson Ian Goodfellow Kunal Talwar	1
+	Extremal Mechanisms for Local Differential Privacy	2014	Peter Kairouz Sewoong Oh Pramod Viswanath	1
+	The Composition Theorem for Differential Privacy	2017	Peter Kairouz Sewoong Oh Pramod Viswanath	1
+	Blender: enabling local search with a hybrid differential privacy model	2017	Brendan Avent Aleksandra Korolova David Zeber Torgeir Hovden Benjamin Livshits	1
+ PDF Chat	Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics	2017	Xi Wu Fengan Li Arun Kumar Kamalika Chaudhuri Somesh Jha Jeffrey F. Naughton	1
+ PDF Chat	Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries	2016	Giulia Fanti Vasyl Pihur Úlfar Erlingsson	1
+	RAPPOR	2014	Úlfar Erlingsson Vasyl Pihur Aleksandra Korolova	1
+ PDF Chat	Local, Private, Efficient Protocols for Succinct Histograms	2015	Raef Bassily Adam Smith	1
+	Prochlo	2017	Andrea Bittau Úlfar Erlingsson Petros Maniatis Ilya Mironov Ananth Raghunathan David Lie Mitch Rudominer Ushasree Kode Julien Tinnes Bernhard Seefeld	1