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1703.02952
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A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
8 March 2017
Seyed Ali Osia
Ali Shahin Shamsabadi
Sina Sajadmanesh
A. Taheri
Kleomenis Katevas
Hamid R. Rabiee
Nicholas D. Lane
Hamed Haddadi
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Papers citing
"A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics"
50 / 80 papers shown
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128
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Privacy Preservation Techniques (PPTs) in IoT Systems: A Scoping Review and Future Directions
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158
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Alexander Isenko
Shiqiang Wang
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286
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09 Jan 2024
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
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Jiantao Zhou
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Weiwei Sun
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145
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19 Oct 2023
Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance
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Xuchao Zhang
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Guoqing Zheng
Saravan Rajmohan
Victor Rühle
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152
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Jui-Tse Hung
Manavi Agrawal
Prahlad Jasti
Shahab Nikkhoo
S. Jha
Tianhao Wang
Sibin Mohan
Alexey Tumanov
355
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Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
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Jinyue Li
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204
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01 Jun 2023
Adjustable Privacy using Autoencoder-based Learning Structure
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143
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07 Apr 2023
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S. Dasgupta
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01 Apr 2023
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Yipeng Zhou
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322
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25 Mar 2023
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Lingjuan Lyu
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27 Jan 2023
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference
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Rui Tan
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155
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12 Nov 2022
Information Removal at the bottleneck in Deep Neural Networks
British Machine Vision Conference (BMVC), 2022
Enzo Tartaglione
167
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30 Sep 2022
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IEEE Transactions on Mobile Computing (IEEE TMC), 2022
Mu Yuan
Lan Zhang
Fengxiang He
Xueting Tong
Miao-Hui Song
Zhengyuan Xu
Xiang-Yang Li
335
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28 Sep 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
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Zheqi Lv
Wenqiao Zhang
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Kun Kuang
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Tao Shen
Hongxia Yang
Bengchin Ooi
Leilei Gan
301
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12 Sep 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder
J. Jeong
Minyong Cho
Philipp Benz
Jinwoo Hwang
J. Kim
Seungkwang Lee
Tae-Hoon Kim
121
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04 Aug 2022
Disentangling private classes through regularization
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Enzo Tartaglione
F. Gennari
Marco Grangetto
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131
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Distributed data analytics
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Hamed Haddadi
S. S. Rodríguez
Liang Wang
203
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26 Mar 2022
Learning to Censor by Noisy Sampling
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Ayush Chopra
Abhinav Java
Abhishek Singh
Vivek Sharma
Ramesh Raskar
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200
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23 Mar 2022
Decouple-and-Sample: Protecting sensitive information in task agnostic data release
European Conference on Computer Vision (ECCV), 2022
Abhishek Singh
Ethan Garza
Ayush Chopra
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
180
8
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17 Mar 2022
Privacy-Preserving Speech Representation Learning using Vector Quantization
Pierre Champion
D. Jouvet
Anthony Larcher
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83
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15 Mar 2022
Towards Battery-Free Machine Learning and Inference in Underwater Environments
Workshop on Mobile Computing Systems and Applications (HotMobile), 2022
Yuchen Zhao
Sayed Saad Afzal
Waleed Akbar
Osvy Rodriguez
Fan Mo
David E. Boyle
Fadel M. Adib
Hamed Haddadi
3DV
91
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16 Feb 2022
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Surya Kant Sahu
Abhishek Singh
Abhinav Java
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
177
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02 Dec 2021
Data Selection for Efficient Model Update in Federated Learning
Hongrui Shi
Valentin Radu
FedML
114
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05 Nov 2021
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution
Yiftach Savransky
Roni Mateless
Gilad Katz
114
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04 Nov 2021
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning
Pattern Recognition Letters (PR), 2021
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Ruben Tolosana
R. Guest
R. Vera-Rodríguez
F. Deravi
Aythami Morales
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175
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A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
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Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
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506
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Behnam Zeinali
Di Zhuang
Jerome Chang
149
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21 Jun 2021
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
ACM Computing Surveys (CSUR), 2021
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Giuseppe Stragapede
Ruben Tolosana
R. Guest
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189
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Anastasia Borovykh
Deniz Gündüz
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217
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Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
IEEE Communications Surveys and Tutorials (COMST), 2021
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
343
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Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
M. Dedeoglu
Sen Lin
Zhaofeng Zhang
Junshan Zhang
190
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DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
Computer Vision and Pattern Recognition (CVPR), 2020
Abhishek Singh
Ayush Chopra
Vivek Sharma
Ethan Garza
Emily Zhang
Praneeth Vepakomma
Ramesh Raskar
247
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20 Dec 2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Jun Zhou
Longfei Zheng
Chaochao Chen
Yan Wang
Xiaolin Zheng
Bingzhe Wu
Cen Chen
Li Wang
Jianwei Yin
FedML
159
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0
17 Dec 2020
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach
Omid Hajihassani
Omid Ardakanian
Hamzeh Khazaei
133
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Paralinguistic Privacy Protection at the Edge
Ranya Aloufi
Hamed Haddadi
David E. Boyle
242
15
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A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis
Italian National Conference on Sensors (INS), 2020
Teng Wang
Xuefeng Zhang
Xuefeng Zhang
Xinyu Yang
284
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11 Oct 2020
Rotation-Equivariant Neural Networks for Privacy Protection
Hao Zhang
Yiting Chen
Haotian Ma
Feng He
Qihan Ren
Liyao Xiang
Jie Shi
Quanshi Zhang
91
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Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
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433
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Tajana Simunic
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Nam H. Nguyen
Keyu Chen
Jerome Chang
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Ali Shahin Shamsabadi
Kleomenis Katevas
Soteris Demetriou
Ilias Leontiadis
Andrea Cavallaro
Hamed Haddadi
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Adria Gascon
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Andrea Cavallaro
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264
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Ahmed T. Elthakeb
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H. Esmaeilzadeh
215
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212
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11 Mar 2020
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