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of 2 785
pro vyhledávání: '"Ma Jianfeng"'
Metaverse is a vast virtual world parallel to the physical world, where the user acts as an avatar to enjoy various services that break through the temporal and spatial limitations of the physical world. Metaverse allows users to create arbitrary dig
Externí odkaz:
http://arxiv.org/abs/2409.10850
Memory corruption attacks (MCAs) refer to malicious behaviors of system intruders that modify the contents of a memory location to disrupt the normal operation of computing systems, causing leakage of sensitive data or perturbations to ongoing proces
Externí odkaz:
http://arxiv.org/abs/2309.05978
Autor:
Niu, Jun, Zhu, Xiaoyan, Zeng, Moxuan, Zhang, Ge, Zhao, Qingyang, Huang, Chunhui, Zhang, Yangming, An, Suyu, Wang, Yangzhong, Yue, Xinghui, He, Zhipeng, Guo, Weihao, Shen, Kuo, Liu, Peng, Shen, Yulong, Jiang, Xiaohong, Ma, Jianfeng, Zhang, Yuqing
Membership inference (MI) attacks threaten user privacy through determining if a given data example has been used to train a target model. However, it has been increasingly recognized that the "comparing different MI attacks" methodology used in the
Externí odkaz:
http://arxiv.org/abs/2307.06123
Federated Learning (FL) is a widely adopted privacy-preserving machine learning approach where private data remains local, enabling secure computations and the exchange of local model gradients between local clients and third-party parameter servers.
Externí odkaz:
http://arxiv.org/abs/2305.04095
Autor:
Li, Feng1 (AUTHOR) feng.li@stu.xidian.edu.cn, Ma, Jianfeng1 (AUTHOR) jfma@mail.xidian.edu.cn, Miao, Yinbin1 (AUTHOR) ybmiao@xidian.edu.cn, Liu, Ximeng2 (AUTHOR) snbnix@gmail.com, Ning, Jianting3 (AUTHOR) jtning88@gmail.com, Deng, Robert H.4 (AUTHOR) robertdeng@smu.edu.sg
Publikováno v:
ACM Computing Surveys. May2024, Vol. 56 Issue 5, p1-42. 42p.
Metaverse is a vast virtual environment parallel to the physical world in which users enjoy a variety of services acting as an avatar. To build a secure living habitat, it's vital to ensure the virtual-physical traceability that tracking a malicious
Externí odkaz:
http://arxiv.org/abs/2209.08893
Artificial intelligence and machine learning have been integrated into all aspects of our lives and the privacy of personal data has attracted more and more attention. Since the generation of the model needs to extract the effective information of th
Externí odkaz:
http://arxiv.org/abs/2202.05469
Backdoor injection attack is an emerging threat to the security of neural networks, however, there still exist limited effective defense methods against the attack. In this paper, we propose BAERASE, a novel method that can erase the backdoor injecte
Externí odkaz:
http://arxiv.org/abs/2201.09538
Publikováno v:
IEEE Journal on Selected Areas in Communications (JSAC), 2022
To fight against infectious diseases (e.g., SARS, COVID-19, Ebola, etc.), government agencies, technology companies and health institutes have launched various contact tracing approaches to identify and notify the people exposed to infection sources.
Externí odkaz:
http://arxiv.org/abs/2201.08133
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496