Ryo Kikuchi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation	2022	Nuttapong Attrapadung Koki Hamada Dai Ikarashi Ryo Kikuchi Takahiro Matsuda Ibuki Mishina Hiraku Morita Jacob C. N. Schuldt
+	Garbling Scheme for Formulas with Constant Size of Garbled Gates.	2016	Carmen Kempka Ryo Kikuchi Susumu Kiyoshima Koutarou Suzuki
+ PDF Chat	k-Anonymous Microdata Release via Post Randomisation Method	2015	Dai Ikarashi Ryo Kikuchi Koji Chida Katsumi Takahashi
+	k-anonymous Microdata Release via Post Randomisation Method	2015	Dai Ikarashi Ryo Kikuchi Koji Chida Katsumi Takahashi
+	t-test for Privacy-Preserved Data	2012	Ryo Kikuchi Akihiro Yamanaka Dai Ikarashi

Common Coauthors

Coauthor	Papers Together
Dai Ikarashi	4
Katsumi Takahashi	2
Koji Chida	2
Takahiro Matsuda	1
Akihiro Yamanaka	1
Koutarou Suzuki	1
Ibuki Mishina	1
Susumu Kiyoshima	1
Jacob C. N. Schuldt	1
Carmen Kempka	1
Nuttapong Attrapadung	1
Koki Hamada	1
Hiraku Morita	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	On the design and quantification of privacy preserving data mining algorithms	2001	Dakshi Agrawal Charų C. Aggarwal	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Share Conversion, Pseudorandom Secret-Sharing and Applications to Secure Computation	2005	Ronald Cramer Ivan Damgård Yuval Ishai	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	1
+	A framework for privacy preserving statistical analysis on distributed databases	2012	Bing-Rong Lin Ye Wang Shantanu Rane	1
+ 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	1
+	Adaptive Gradient Methods with Dynamic Bound of Learning Rate	2019	Liangchen Luo Yuanhao Xiong Yan Liu Xu Sun	1
+	XONN: XNOR-based Oblivious Deep Neural Network Inference	2019	M. Sadegh Riazi Mohammad Samragh Hao Chen Kim Laine Kristin Lauter Farinaz Koushanfar	1
+ PDF Chat	DeepSecure: Scalable Provably-Secure Deep Learning	2018	Bita Darvish Rouhani M. Sadegh Riazi Farinaz Koushanfar	1
+	QUOTIENT: Two-Party Secure Neural Network Training and Prediction	2019	Nitin Agrawal Ali Shahin Shamsabadi Matt J. Kusner Adrià Gascón	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference	2019	Peichen Xie Bingzhe Wu Guangyu Sun	1
+	CrypTFlow: Secure TensorFlow Inference	2019	Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma	1
+ PDF Chat	Secure Evaluation of Quantized Neural Networks	2020	Anders Dalskov Daniel Escudero Marcel Keller	1
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh	1
+ PDF Chat	CrypTFlow: Secure TensorFlow Inference	2020	Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma	1
+ PDF Chat	PrivEdge: From Local to Distributed Private Training and Prediction	2020	Ali Shahin Shamsabadi Adrià Gascón Hamed Haddadi Andrea Cavallaro	1
+	SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning	2020	Nishat Koti Mahak Pancholi Arpita Patra Ajith Suresh	1
+	Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data	2019	Qian Lou Bo Feng Geoffrey Fox Lei Jiang	1
+ PDF Chat	ASTRA	2019	Harsh Chaudhari Ashish Choudhury Arpita Patra Ajith Suresh	1
+	BLAZE: Blazing Fast Privacy-Preserving Machine Learning	2020	Arpita Patra Ajith Suresh	1
+ PDF Chat	Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning	2020	Sameer Wagh Shruti Tople Fabrice Benhamouda Eyal Kushilevitz Prateek Mittal Tal Rabin	1
+	Effectiveness of MPC-friendly Softmax Replacement	2020	Marcel Keller Ke Sun	1
+ PDF Chat	CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU	2021	Sijun Tan Brian Knott Yuan Tian David J. Wu	1
+	Adaptive Gradient Methods with Dynamic Bound of Learning Rate	2019	Liangchen Luo Yuanhao Xiong Yan Liu Xu Sun	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