Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus
Li, Qiongxiu, Gundersen, Jaron Skovsted, Lopuhaa-Zwakenberg, Milan, Heusdens, Richard
Published in IEEE transactions on information forensics and security (2024)
Published in IEEE transactions on information forensics and security (2024)
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Journal Article
An Intelligent Innovation Dataset on Scientific Research Outcomes
Wu, Xinran, Zou, Hui, Xing, Yidan, Qu, Jingjing, Li, Qiongxiu, Xue, Renxia, Fu, Xiaoming
Year of Publication 10.09.2024
Year of Publication 10.09.2024
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Journal Article
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Li, Xiao, Sun, Wenxuan, Chen, Huanran, Li, Qiongxiu, Liu, Yining, He, Yingzhe, Shi, Jie, Hu, Xiaolin
Year of Publication 01.08.2024
Year of Publication 01.08.2024
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Journal Article
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization
Yu, Wenrui, Li, Qiongxiu, Lopuhaä-Zwakenberg, Milan, Christensen, Mads Græsbøll, Heusdens, Richard
Year of Publication 12.07.2024
Year of Publication 12.07.2024
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Journal Article
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem
Li, Qiongxiu, Luo, Lixia, Gini, Agnese, Ji, Changlong, Hu, Zhanhao, Li, Xiao, Fang, Chengfang, Shi, Jie, Hu, Xiaolin
Year of Publication 21.09.2024
Year of Publication 21.09.2024
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Journal Article
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
Li, Qiongxiu, Gundersen, Jaron Skovsted, Tjell, Katrine, Wisniewski, Rafal, Christensen, Mads Græsbøll
Published in arXiv.org (16.09.2022)
Published in arXiv.org (16.09.2022)
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Paper
Journal Article
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms
Li, Qiongxiu, Gundersen, Jaron Skovsted, Heusdens, Richard, Christensen, Mads Græsbøll
Year of Publication 02.09.2020
Year of Publication 02.09.2020
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Journal Article