Naohisa Nishida

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All published works

Action	Title	Year	Authors
+ PDF Chat	MOBIUS: Model-Oblivious Binarized Neural Networks	2019	Hiromasa Kitai Goichiro Hanaoka Jason Paul Cruz Naoto Yanai Naohisa Nishida Tatsumi Oba Yuji Unagami Tadanori Teruya Nuttapong Attrapadung Takahiro Matsuda

Common Coauthors

Coauthor	Papers Together
Tatsumi Oba	1
Tadanori Teruya	1
Goichiro Hanaoka	1
Naoto Yanai	1
Hiromasa Kitai	1
Nuttapong Attrapadung	1
Takahiro Matsuda	1
Yuji Unagami	1
Jason Paul Cruz	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Local Privacy and Statistical Minimax Rates	2013	John C. Duchi Michael I. Jordan Martin J. Wainwright	1
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	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
+	Gazelle: A Low Latency Framework for Secure Neural Network Inference	2018	Chiraag Juvekar Vinod Vaikuntanathan Anantha P. Chandrakasan	1
+	Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications	2018	M. Sadegh Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori Thomas Schneider Farinaz Koushanfar	1
+ PDF Chat	Comparing Population Means Under Local Differential Privacy: With Significance and Power	2018	Bolin Ding Harsha Nori Paul Li Joshua E. Allen	1
+	TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service	2018	Amartya Sanyal Matt J. Kusner Adrià Gascón Varun Kanade	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+ PDF Chat	DeepSecure: Scalable Provably-Secure Deep Learning	2018	Bita Darvish Rouhani M. Sadegh Riazi Farinaz Koushanfar	1
+ PDF Chat	Model Extraction Warning in MLaaS Paradigm	2018	Manish Kesarwani Bhaskar Mukhoty Vijay Arya Sameep Mehta	1
+ PDF Chat	The Bernstein Mechanism: Function Release under Differential Privacy	2017	Francesco Aldà Benjamin I. P. Rubinstein	1
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	1
+	Gazelle: A Low Latency Framework for Secure Neural Network Inference	2018	Chiraag Juvekar Vinod Vaikuntanathan Anantha P. Chandrakasan	1
+	Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications	2018	M. Sadegh Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori Thomas Schneider Farinaz Koushanfar	1