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Not Just Privacy: Improving Performance of Private Deep Learning in
  Mobile Cloud

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

10 September 2018
Ji Wang
Jianguo Zhang
Weidong Bao
Xiaomin Zhu
Bokai Cao
Philip S. Yu
ArXivPDFHTML

Papers citing "Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud"

23 / 23 papers shown
Title
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
73
0
0
12 Mar 2025
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
42
0
0
03 Jul 2023
Coincidental Generation
Coincidental Generation
Jordan W. Suchow
Necdet Gurkan
33
0
0
03 Apr 2023
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative
  Using Differential Privacy
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy
Yulong Wang
Xingshu Chen
Qixu Wang
FedML
29
3
0
13 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data
  Privacy
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
Ngoc Duy Pham
Tran Dang Khoa Phan
A. Abuadbba
Yansong Gao
Doan Nguyen
Naveen Chilamkurti
33
5
0
01 Dec 2022
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
31
22
0
07 Apr 2022
RacketStore: Measurements of ASO Deception in Google Play via Mobile and
  App Usage
RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage
Nestor Hernandez
Ruben Recabarren
Bogdan Carbunar
Syed Ishtiaque Ahmed
14
2
0
19 Nov 2021
Task-aware Privacy Preservation for Multi-dimensional Data
Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng
A. Tang
Sandeep P. Chinchali
31
7
0
05 Oct 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
22
89
0
30 Aug 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural
  Networks for Graph Data
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
I-Chung Hsieh
Cheng-Te Li
AAML
22
23
0
22 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
16
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
28
86
0
04 May 2021
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning
  in Lossy Wireless Networks
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks
Sohei Itahara
Takayuki Nishio
Koji Yamamoto
25
15
0
28 Apr 2021
Can Differential Privacy Practically Protect Collaborative Deep Learning
  Inference for the Internet of Things?
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon Ryu
Yifeng Zheng
Yansong Gao
A. Abuadbba
Junyaup Kim
Dongho Won
Surya Nepal
Hyoungshick Kim
Cong Wang
18
12
0
08 Apr 2021
Differentially Private Representation for NLP: Formal Guarantee and An
  Empirical Study on Privacy and Fairness
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
Lingjuan Lyu
Xuanli He
Yitong Li
35
89
0
03 Oct 2020
Information Leakage in Embedding Models
Information Leakage in Embedding Models
Congzheng Song
A. Raghunathan
MIACV
21
262
0
31 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
17
326
0
22 Feb 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
605
0
02 Sep 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
23
1,420
0
24 May 2019
Improved Dynamic Memory Network for Dialogue Act Classification with
  Adversarial Training
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training
Yao Wan
Wenqiang Yan
Jianwei Gao
Zhou Zhao
Jian Wu
Philip S. Yu
19
10
0
12 Nov 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health
  Degree Prediction
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction
Jianguo Zhang
Ji Wang
Lifang He
Zhao Li
Philip S. Yu
21
31
0
11 Sep 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
29
98
0
10 Sep 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
45
1,304
0
12 Mar 2018
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