Nguyen B. Truong

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Modelling Technique for GDPR-compliance: Toward a Comprehensive Solution	2024	Naila Azam Anna Lito Michala Shuja Ansari Nguyen B. Truong
+ PDF Chat	Modelling Technique for GDPR-Compliance: Toward a Comprehensive Solution	2023	Naila Azam Anna Lito Michala Shuja Ansari Nguyen B. Truong
+	Privacy preservation in federated learning: An insightful survey from the GDPR perspective	2021	Nguyen B. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo
+	A blockchain-based trust system for decentralised applications: When trustless needs trust	2021	Nguyen B. Truong Gyu Myoung Lee Kai Sun Florian Guitton Yike Guo
+	A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust	2021	Nguyen B. Truong Gyu Myoung Lee Kai Sun Florian Guitton Yike Guo
+	Privacy Preservation in Federated Learning: Insights from the GDPR Perspective.	2020	Nguyen B. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo
+	Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective	2020	Nguyen B. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo
+ PDF Chat	GDPR-Compliant Personal Data Management: A Blockchain-Based Solution	2019	Nguyen B. Truong Kai Sun Gyu Myoung Lee Yike Guo
+ PDF Chat	Blockchain-based Personal Data Management: From Fiction to Solution	2019	Nguyen B. Truong Kai Sun Yike Guo
+ PDF Chat	GDPR-Compliant Personal Data Management: A Blockchain-based Solution	2019	Nguyen B. Truong Kai Sun Gyu Myoung Lee Yike Guo
+ PDF Chat	Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things	2019	Nguyen B. Truong Gyu Myoung Lee Tai-Won Um Michael Mackay
+	Blockchain-based Personal Data Management: From Fiction to Solution	2019	Nguyen B. Truong Kai Sun Yike Guo

Common Coauthors

Coauthor	Papers Together
Yike Guo	9
Kai Sun	9
Florian Guitton	5
Gyu Myoung Lee	5
Siyao Wang	3
Shuja Ansari	2
Anna Lito Michala	2
Naila Azam	2
Michael Mackay	1
Tai-Won Um	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Towards Blockchain-based Auditable Storage and Sharing of IoT Data	2017	Hossein Shafagh Lukas Burkhalter Anwar Hithnawi Simon Duquennoy	7
+	IPFS - Content Addressed, Versioned, P2P File System	2014	Juan Benet	5
+ PDF Chat	A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks	2019	Wenbo Wang Dinh Thai Hoang Peizhao Hu Zehui Xiong Dusit Niyato Ping Wang Yonggang Wen Dong In Kim	5
+ PDF Chat	A Blockchain-based Approach for Data Accountability and Provenance Tracking	2017	Ricardo Neisse Gary Steri Igor Nai-Fovino	3
+	Hyperledger fabric: a distributed operating system for permissioned blockchains	2018	Elli Androulaki Artem Barger Vita Bortnikov Christian Cachin Konstantinos Christidis Angelo De David Enyeart Christopher Ferris Gennady Laventman Yacov Manevich	3
+ PDF Chat	GDPR-Compliant Personal Data Management: A Blockchain-Based Solution	2019	Nguyen B. Truong Kai Sun Gyu Myoung Lee Yike Guo	3
+	LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy	2020	Lichao Sun Jianwei Qian Xun Chen Philip S. Yu	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+ PDF Chat	On the responsible use of digital data to tackle the COVID-19 pandemic	2020	Marcello Ienca Effy Vayena	2
+	Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions	2017	Oscar Li Hao Liu Chaofan Chen Cynthia Rudin	2
+ PDF Chat	Distributed deep learning on edge-devices: Feasibility via adaptive compression	2017	Corentin Hardy Erwan Le Merrer Bruno Sericola	2
+ PDF Chat	Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things	2019	Nguyen B. Truong Gyu Myoung Lee Tai-Won Um Michael Mackay	2
+	Revisiting Distributed Synchronous SGD	2017	Jianmin Chen Rajat Monga Samy Bengio Rafał Józefowicz	2
+	Federated Learning With Differential Privacy: Algorithms and Performance Analysis	2020	Kang Wei Jun Li Ming Ding Chuan Ma Howard H. Yang Farhad Farokhi Shi Jin Tony Q. S. Quek H. Vincent Poor	2
+ PDF Chat	Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning	2019	Zhibo Wang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi	2
+	Robust and Communication-Efficient Collaborative Learning	2019	Amirhossein Reisizadeh Hossein Taheri Aryan Mokhtari Hamed Hassani Ramtin Pedarsani	2
+	Asynchronous Decentralized Parallel Stochastic Gradient Descent	2017	Xiangru Lian Wei Zhang Ce Zhang Ji Liu	2
+ PDF Chat	Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers	2015	Giuseppe Ateniese Luigi V. Mancini Angelo Spognardi Antonio Villani Domenico Vitali Giovanni Felici	2
+	Adaptively secure multi-party computation	1996	Ran Canetti Uri Feige Oded Goldreich Moni Naor	2
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	2
+	Is feature selection secure against training data poisoning?	2018	Xiao Huang Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli	2
+	Practical Secure Aggregation for Federated Learning on User-Held Data	2016	Kallista Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth	2
+	Definitions, methods, and applications in interpretable machine learning	2019	William J. Murdoch Chandan Singh Karl Kumbier Reza Abbasi-Asl Bin Yu	2
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim	2
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	2
+ PDF Chat	Interpretable and Differentially Private Predictions	2020	Frederik Harder Matthias Bauer Mijung Park	2
+ PDF Chat	Semi-Stochastic Gradient Descent Methods	2017	Jakub Konečný Peter Richtárik	2
+	Blockchain based trust & authentication for decentralized sensor networks	2017	Axel Moinet Benoît Darties Jean-Luc Baril	2
+	Differentially Private Federated Learning: A Client Level Perspective	2017	R. Geyer Tassilo J. Klein Moin Nabi	2
+	Inverting Gradients -- How easy is it to break privacy in federated learning?	2020	Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller	2
+	Poisoning Attacks against Support Vector Machines	2012	Battista Biggio Blaine Nelson Pavel Laskov	2
+	Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning	2017	Xinyun Chen Chang Liu Bo Li Kimberly Lu Dawn Song	2
+ PDF Chat	Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning	2019	Milad Nasr Reza Shokri Amir Houmansadr	2
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	2
+	Differentially Private Empirical Risk Minimization.	2011	Kamalika Chaudhuri Claire Monteleoni Anand D. Sarwate	2
+	GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent	2018	Jeff Daily Abhinav Vishnu Charles Siegel Thomas Warfel Vinay Amatya	2
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	2
+	Inference Attacks Against Collaborative Learning.	2018	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	2
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	2
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	2
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	2
+	Mitigating Sybils in Federated Learning Poisoning	2018	Clement Fung Chris J. M. Yoon Ivan Beschastnikh	2
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	2
+	Protection Against Reconstruction and Its Applications in Private Federated Learning	2018	Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan Rogers	2
+	Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.	2018	Milad Nasr Reza Shokri Amir Houmansadr	2
+	Applied Federated Learning: Improving Google Keyboard Query Suggestions	2018	Timothy T. Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage Françoise Beaufays	2
+ PDF Chat	Convergence of Edge Computing and Deep Learning: A Comprehensive Survey	2020	Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen	2
+ PDF Chat	Adaptive Federated Learning in Resource Constrained Edge Computing Systems	2019	Shiqiang Wang Tiffany Tuor Theodoros Salonidis Kin K. Leung Christian Makaya Ting He Kevin Chan	2
+	Towards Federated Learning at Scale: System Design	2019	Keith Bonawitz Hubert Eichner Wolfgang Grieskamp Dzmitry Huba Alex Ingerman Vladimir Ivanov Chloé Kiddon Jakub Konečný Stefano Mazzocchi H. Brendan McMahan	2
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	2