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A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile
  Analytics

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
ArXivPDFHTML

Papers citing "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics"

31 / 31 papers shown
Title
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing
  Inference Serving Systems
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems
Debopam Sanyal
Jui-Tse Hung
Manavi Agrawal
Prahlad Jasti
Shahab Nikkhoo
S. Jha
Tianhao Wang
Sibin Mohan
Alexey Tumanov
56
0
0
03 Jul 2023
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile
  Cloud Inference
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference
Linshan Jiang
Qun Song
Rui Tan
Mo Li
21
4
0
12 Nov 2022
Information Removal at the bottleneck in Deep Neural Networks
Information Removal at the bottleneck in Deep Neural Networks
Enzo Tartaglione
61
2
0
30 Sep 2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in
  Mobile-Centric Inference
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference
Mu Yuan
Lan Zhang
Fengxiang He
Xueting Tong
Miao-Hui Song
Zhengyuan Xu
Xiang-Yang Li
37
2
0
28 Sep 2022
Distributed data analytics
Distributed data analytics
Richard Mortier
Hamed Haddadi
S. S. Rodríguez
Liang Wang
40
2
0
26 Mar 2022
Towards Battery-Free Machine Learning and Inference in Underwater
  Environments
Towards Battery-Free Machine Learning and Inference in Underwater Environments
Yuchen Zhao
Sayed Saad Afzal
Waleed Akbar
Osvy Rodriguez
Fan Mo
David E. Boyle
Fadel M. Adib
Hamed Haddadi
3DV
27
19
0
16 Feb 2022
Data Selection for Efficient Model Update in Federated Learning
Data Selection for Efficient Model Update in Federated Learning
Hongrui Shi
Valentin Radu
FedML
39
5
0
05 Nov 2021
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using
  Unsupervised Learning
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning
Paula Delgado-Santos
Ruben Tolosana
R. Guest
R. Vera-Rodríguez
F. Deravi
Aythami Morales
CVBM
31
30
0
08 Oct 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
191
413
0
14 Jul 2021
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
Paula Delgado-Santos
Giuseppe Stragapede
Ruben Tolosana
R. Guest
F. Deravi
R. Vera-Rodríguez
PILM
37
46
0
18 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be
  Secretly Coded into the Classifiers' Outputs
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
Mohammad Malekzadeh
Anastasia Borovykh
Deniz Gündüz
MIACV
36
42
0
25 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
50
87
0
04 May 2021
Privacy Adversarial Network: Representation Learning for Mobile Data
  Privacy
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy
Sicong Liu
Junzhao Du
Anshumali Shrivastava
Lin Zhong
64
14
0
08 Jun 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework
  for Deep Learning with Anonymized Intermediate Representations
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations
Ang Li
Yixiao Duan
Huanrui Yang
Yiran Chen
Jianlei Yang
54
50
0
23 May 2020
Privacy in Deep Learning: A Survey
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
41
136
0
25 Apr 2020
Model enhancement and personalization using weakly supervised learning
  for multi-modal mobile sensing
Model enhancement and personalization using weakly supervised learning for multi-modal mobile sensing
Diyan Teng
Rashmi Kulkarni
Justin McGloin
9
0
0
29 Oct 2019
Emotion Filtering at the Edge
Emotion Filtering at the Edge
Ranya Aloufi
Hamed Haddadi
David E. Boyle
32
19
0
18 Sep 2019
DeepObfuscator: Obfuscating Intermediate Representations with
  Privacy-Preserving Adversarial Learning on Smartphones
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones
Ang Li
Jiayi Guo
Huanrui Yang
Flora D. Salim
Yiran Chen
AAML
21
36
0
09 Sep 2019
Local Differential Privacy for Deep Learning
Local Differential Privacy for Deep Learning
Pathum Chamikara Mahawaga Arachchige
P. Bertók
I. Khalil
Dongxi Liu
S. Çamtepe
Mohammed Atiquzzaman
41
220
0
08 Aug 2019
Adversarial training approach for local data debiasing
Adversarial training approach for local data debiasing
Ulrich Aïvodji
F. Bidet
Sébastien Gambs
Rosin Claude Ngueveu
Alain Tapp
11
7
0
19 Jun 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
44
1,425
0
24 May 2019
Deep Learning on Mobile Devices - A Review
Deep Learning on Mobile Devices - A Review
Yunbin Deng
27
120
0
21 Mar 2019
Private Model Compression via Knowledge Distillation
Private Model Compression via Knowledge Distillation
Ji Wang
Weidong Bao
Lichao Sun
Xiaomin Zhu
Bokai Cao
Philip S. Yu
FedML
19
116
0
13 Nov 2018
Deep Learning Towards Mobile Applications
Deep Learning Towards Mobile Applications
Ji Wang
Bokai Cao
Philip S. Yu
Lichao Sun
Weidong Bao
Xiaomin Zhu
HAI
32
98
0
10 Sep 2018
Not Just Privacy: Improving Performance of Private Deep Learning in
  Mobile Cloud
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang
Jianguo Zhang
Weidong Bao
Xiaomin Zhu
Bokai Cao
Philip S. Yu
29
194
0
10 Sep 2018
Confidential Inference via Ternary Model Partitioning
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
42
53
0
03 Jul 2018
Exploiting Unintended Feature Leakage in Collaborative Learning
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
98
1,457
0
10 May 2018
Deep Facial Expression Recognition: A Survey
Deep Facial Expression Recognition: A Survey
Shan Li
Weihong Deng
153
1,288
0
23 Apr 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
59
1,308
0
12 Mar 2018
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data
  Analysis
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis
Mohammad Malekzadeh
R. Clegg
Hamed Haddadi
16
72
0
18 Oct 2017
Unsupervised Machine Learning for Networking: Techniques, Applications
  and Research Challenges
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
53
317
0
19 Sep 2017
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