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Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain

1 January 2023

Papers citing "Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain"

28 / 28 papers shown

Title
Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing Sahraoui Dhelim Mohand Tahar Kechadi L. Chen Nyothiri Aung Huansheng Ning L. Atzori 66 81 0 13 Apr 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 37 34 0 09 Mar 2022
Artificial Intelligence for the Metaverse: A Survey Thien Huynh-The Quoc-Viet Pham Xuan-Qui Pham Thanh Thi Nguyen Zhu Han Dong-Seong Kim 107 421 0 15 Feb 2022
Fusing Blockchain and AI with Metaverse: A Survey Qinglin Yang Yetong Zhao Huawei Huang Zehui Xiong Jiawen Kang Zibin Zheng 77 317 0 10 Jan 2022
ProductAE: Towards Training Larger Channel Codes based on Neural Product Codes Mohammad Vahid Jamali Hamid Saber Homayoon Hatami J. Bae 53 33 0 09 Oct 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 114 178 0 29 Sep 2021
Machine Learning based Medical Image Deepfake Detection: A Comparative Study Siddharth Solaiyappan Yuxin Wen AAML MedIm 92 45 0 27 Sep 2021
Metaverse for Social Good: A University Campus Prototype Haihan Duan Jiaye Li Sizheng Fan Zhonghao Lin Xiao Wu Wei Cai 48 616 0 20 Aug 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 56 17 0 22 Jul 2021
Multi-Party Proof Generation in QAP-based zk-SNARKs Alireza Rahimi M. Maddah-ali 53 9 0 01 Mar 2021
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning Jonas Geiping Liam H. Fowl Gowthami Somepalli Micah Goldblum Michael Moeller Tom Goldstein TDI AAML SILM 39 41 0 26 Feb 2021
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing Yi Shi Y. Sagduyu AAML AI4CE 72 30 0 21 Jan 2021
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition Valeriia Cherepanova Micah Goldblum Harrison Foley Shiyuan Duan John P. Dickerson Gavin Taylor Tom Goldstein AAML PICV 69 136 0 20 Jan 2021
Context-Aware Security for 6G Wireless The Role of Physical Layer Security A. Chorti A. Barreto Stefan Kopsell M. Zoli Marwa Chafii P. Sehier G. Fettweis H. Vincent Poor 91 127 0 05 Jan 2021
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks Yunlong Lu Xiaohong Huang Ke Zhang Sabita Maharjan Yan Zhang 58 353 0 17 Nov 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S. Kadhe Nived Rajaraman O. O. Koyluoglu Kannan Ramchandran FedML 85 164 0 23 Sep 2020
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing Tayyebeh Jahani-Nezhad M. Maddah-ali 77 30 0 17 Sep 2020
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions N. Deepa Quoc-Viet Pham Dinh C. Nguyen S. Bhattacharya B. Prabadevi Thippa Reddy Gadekallu Praveen Kumar Reddy Maddikunta Fang Fang P. Pathirana AI4CE 80 392 0 02 Sep 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 79 610 0 09 Jul 2020
A Survey on Blockchain Interoperability: Past, Present, and Future Trends R. Belchior André Vasconcelos Sérgio Guerreiro M. Correia 60 471 0 28 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
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 109 1,235 0 31 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 274 443 0 04 Mar 2020
A Survey on Edge Computing Systems and Tools Fan Liu Guoming Tang Youhuizi Li Zhiping Cai Xingzhou Zhang Tongqing Zhou 63 220 0 07 Nov 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 129 4,540 0 21 Aug 2019
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 97 1,928 0 02 Jul 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,148 0 04 Nov 2016
Security, Privacy, and Access Control in Information-Centric Networking: A Survey R. Tourani Travis Mick Satyajayant Misra Gaurav Panwar 39 250 0 10 Mar 2016