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

Philip S. Yu

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

19 / 19 papers shown

Title
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations Kathleen Anderson Thomas Martinetz CVBM 68 0 0 12 Mar 2025
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 36 0 0 03 Jul 2023
Coincidental Generation Jordan W. Suchow Necdet Gurkan 25 0 0 03 Apr 2023
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy Yulong Wang Xingshu Chen Qixu Wang FedML 18 3 0 13 Dec 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 21 22 0 07 Apr 2022
RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage Nestor Hernandez Ruben Recabarren Bogdan Carbunar Syed Ishtiaque Ahmed 12 2 0 19 Nov 2021
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 I-Chung Hsieh Cheng-Te Li AAML 17 23 0 22 Jun 2021
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 26 86 0 04 May 2021
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 12 12 0 08 Apr 2021
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness Lingjuan Lyu Xuanli He Yitong Li 12 89 0 03 Oct 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 16 260 0 31 Mar 2020
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 Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 63 604 0 02 Sep 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 19 1,418 0 24 May 2019
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training Yao Wan Wenqiang Yan Jianwei Gao Zhou Zhao Jian Wu Philip S. Yu 11 10 0 12 Nov 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction Jianguo Zhang Ji Wang Lifang He Zhao Li Philip S. Yu 11 31 0 11 Sep 2018
Deep Learning Towards Mobile Applications Ji Wang Bokai Cao Philip S. Yu Lichao Sun Weidong Bao Xiaomin Zhu HAI 16 99 0 10 Sep 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 30 1,303 0 12 Mar 2018