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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"
30 / 80 papers shown
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Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference
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Model enhancement and personalization using weakly supervised learning for multi-modal mobile sensing
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Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
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Emotion Filtering at the Edge
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David E. Boyle
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Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
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Juzheng Liu
Yiran Chen
Xue Yang
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DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones
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Jiayi Guo
Huanrui Yang
Flora D. Salim
Yiran Chen
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137
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09 Sep 2019
Local Differential Privacy for Deep Learning
IEEE Internet of Things Journal (IEEE IoT Journal), 2019
Pathum Chamikara Mahawaga Arachchige
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Dongxi Liu
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Mohammed Atiquzzaman
348
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08 Aug 2019
Towards Characterizing and Limiting Information Exposure in DNN Layers
Conference on Computer and Communications Security (CCS), 2019
Fan Mo
Ali Shahin Shamsabadi
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Andrea Cavallaro
Hamed Haddadi
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13 Jul 2019
Adversarial training approach for local data debiasing
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Alain Tapp
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19 Jun 2019
Shredder: Learning Noise Distributions to Protect Inference Privacy
Fatemehsadat Mireshghallah
Mohammadkazem Taram
Prakash Ramrakhyani
Dean Tullsen
H. Esmaeilzadeh
230
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26 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Proceedings of the IEEE (Proc. IEEE), 2019
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
260
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24 May 2019
Deep Learning on Mobile Devices - A Review
Yunbin Deng
124
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21 Mar 2019
Interpretable Complex-Valued Neural Networks for Privacy Protection
Liyao Xiang
Haotian Ma
Hao Zhang
Yifan Zhang
Jie Ren
Quanshi Zhang
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203
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28 Jan 2019
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network
Sicong Liu
Anshumali Shrivastava
Junzhao Du
Lin Zhong
119
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25 Jan 2019
Private Model Compression via Knowledge Distillation
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Weidong Bao
Lichao Sun
Xiaomin Zhu
Bokai Cao
Philip S. Yu
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154
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13 Nov 2018
Towards Efficient and Secure Delivery of Data for Training and Inference with Privacy-Preserving
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Juzheng Liu
Yiran Chen
Hai Helen Li
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301
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Deep Learning Towards Mobile Applications
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Bokai Cao
Philip S. Yu
Lichao Sun
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Xiaomin Zhu
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10 Sep 2018
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
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188
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Dimitrios E. Pendarakis
Ian Molloy
188
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03 Jul 2018
Adaptive Selection of Deep Learning Models on Embedded Systems
Ben Taylor
Vicent Sanz Marco
W. Wolff
Yehia El-khatib
Zheng Wang
142
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11 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
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10 May 2018
Deep Facial Expression Recognition: A Survey
IEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2018
Shan Li
Weihong Deng
550
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23 Apr 2018
Deep Learning in Mobile and Wireless Networking: A Survey
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Chaoyun Zhang
P. Patras
Hamed Haddadi
355
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12 Mar 2018
Deep Private-Feature Extraction
S. A. Ossia
A. Taheri
Ali Shahin Shamsabadi
Kleomenis Katevas
Hamed Haddadi
Hamid R. Rabiee
221
102
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09 Feb 2018
Secure Mobile Crowdsensing with Deep Learning
Liang Xiao
Donghua Jiang
Dongjin Xu
Ning An
HAI
87
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0
23 Jan 2018
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis
Mohammad Malekzadeh
R. Clegg
Hamed Haddadi
216
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0
18 Oct 2017
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Muhammad Usama
Junaid Qadir
Aunn Raza
Hunain Arif
K. Yau
Y. Elkhatib
Amir Hussain
Ala I. Al-Fuqaha
SSL
246
392
0
19 Sep 2017
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