A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks

14 December 2022

Papers citing "A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks"

22 / 22 papers shown

Title
Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks Yagmur Yigit Christos Chrysoulas Gökhan Yurdakul Leandros A. Maglaras B. Canberk 58 19 0 05 Oct 2023
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 67 21 0 08 Mar 2022
Vulnerability Characterization and Privacy Quantification for Cyber-Physical Systems Arpan Bhattacharjee S. Badsha Md Tamjid Hossain Charalambos Konstantinou Xueping Liang 52 3 0 28 Oct 2021
Security and privacy for 6G: A survey on prospective technologies and challenges V. Nguyen Po-Ching Lin Bo-Chao Cheng Ren-Hung Hwang Ying-Dar Lin AILaw 52 293 0 26 Aug 2021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 163 120 0 09 Feb 2021
Towards Self-learning Edge Intelligence in 6G Yong Xiao Guangming Shi Yingyu Li Walid Saad H. Vincent Poor 66 93 0 01 Oct 2020
Attribute Privacy: Framework and Mechanisms Wanrong Zhang O. Ohrimenko Rachel Cummings 57 38 0 08 Sep 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 65 248 0 21 Jul 2020
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks Solmaz Niknam A. Roy Harpreet S. Dhillon Sukhdeep Singh Rahul Banerji Jeffrey H. Reed N. Saxena Seungil Yoon 36 139 0 17 May 2020
Defending Model Inversion and Membership Inference Attacks via Prediction Purification Ziqi Yang Bin Shao Bohan Xuan E. Chang Fan Zhang AAML 52 71 0 08 May 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 90 584 0 25 Apr 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 68 402 0 02 Apr 2020
Reviewing and Improving the Gaussian Mechanism for Differential Privacy Jun Zhao Teng Wang Tao Bai Kwok-Yan Lam Zhiying Xu Shuyu Shi Xuebin Ren Xinyu Yang Yang Liu Han Yu 99 31 0 27 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 127 1,624 0 01 Nov 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 72 394 0 23 Sep 2019
Location Privacy in Cognitive Radios with Multi-Server Private Information Retrieval Mohamed Grissa A. Yavuz B. Hamdaoui 18 17 0 03 Jul 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 100 2,225 0 21 Jun 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 124 2,674 0 04 Feb 2019
A Survey on Homomorphic Encryption Schemes: Theory and Implementation Abbas Acar Hidayet Aksu A. S. Uluagac Mauro Conti 104 1,078 0 12 Apr 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 272 4,159 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016
Practical Attacks Against Privacy and Availability in 4G/LTE Mobile Communication Systems Altaf Shaik Ravishankar Borgaonkar Nadarajah Asokan Valtteri Niemi Jean-Pierre Seifert 46 300 0 26 Oct 2015