Papers citing 'Privacy-preserving Collaborative Learning with Automatic Transformation Search'

Title
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking Xingchen Wang Feijie Wu Chenglin Miao Tianchun Li Haoyu Hu Qiming Cao Jing Gao Lu Su 0 0 0 18 Sep 2025
DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems Hithem Lamri Manaar Alam Haiyan Jiang Michail Maniatakos MU 99 0 0 02 Jun 2025
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism Shourya Goel Himanshi Tibrewal Anant Jain Anshul Pundhir Pravendra Singh FedML 162 0 0 03 Apr 2025
Anomalous Client Detection in Federated Learning Dipanwita Thakur Antonella Guzzo Giancarlo Fortino FedML 52 1 0 03 Nov 2024
Privacy-Preserving Federated Learning via Dataset Distillation ShiMao Xu Xiaopeng Ke Xing Su Shucheng Li Hao Wu Sheng Zhong Fengyuan Xu FedML 100 0 0 25 Oct 2024
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective Zifan Wang Binghui Zhang Meng Pang Yuan Hong Binghui Wang FedML 120 0 0 22 Aug 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory Naibo Wang Yuchen Deng Wenjie Feng Yuxiang Cai See-Kiong Ng DiffM FedML 106 2 0 22 May 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity Naibo Wang Yuchen Deng Wenjie Feng Shichen Fan Yuxiang Cai See-Kiong Ng FedML 124 8 0 18 Apr 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks Sayedeh Leila Noorbakhsh Binghui Zhang Yuan Hong Binghui Wang AAML 125 12 0 04 Mar 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks Lulu Xue Shengshan Hu Rui-Qing Zhao Leo Yu Zhang Shengqing Hu Lichao Sun Dezhong Yao AAML 101 6 0 30 Jan 2024
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning Yuting Ma Yuanzhi Yao Xiaohua Xu FedML 81 6 0 16 Dec 2023
OASIS: Offsetting Active Reconstruction Attacks in Federated Learning Tre' R. Jeter Truc D. T. Nguyen Raed Alharbi My T. Thai AAML 107 0 0 23 Nov 2023
Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning Feng Wang Senem Velipasalar M. C. Gursoy 81 2 0 30 Oct 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization Tianshi Che Ji Liu Yang Zhou Jiaxiang Ren Jiwen Zhou Victor S. Sheng H. Dai Dejing Dou 116 68 0 23 Oct 2023
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? Xiaoxiao Sun Nidham Gazagnadou Vivek Sharma Lingjuan Lyu Hongdong Li Liang Zheng 136 9 0 22 Sep 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions Haobo Zhang Junyuan Hong Yuyang Deng M. Mahdavi Jiayu Zhou FedML 168 9 0 22 Sep 2023
Privacy Protectability: An Information-theoretical Approach Siping Shi Bihai Zhang Dan Wang 100 1 0 25 May 2023
Mutual Information Regularization for Vertical Federated Learning Tianyuan Zou Yang Liu Ya-Qin Zhang AAML FedML 107 7 0 01 Jan 2023
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems Jiahui Chen Yi Zhao Qi Li Xuewei Feng Ke Xu AAML FedML 155 20 0 08 Oct 2022
Concealing Sensitive Samples against Gradient Leakage in Federated Learning Jing Wu Munawar Hayat Min Zhou Mehrtash Harandi FedML 76 13 0 13 Sep 2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework Tian Dong Song Li Han Qiu Jialiang Lu FedML 67 17 0 10 Jan 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 127 12 0 19 Dec 2021
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning Yang Liu Tianyuan Zou Yan Kang Wenhan Liu Yuanqin He Zhi-qian Yi Qian Yang FedML AAML 150 22 0 10 Dec 2021
Bayesian Framework for Gradient Leakage Mislav Balunović Dimitar I. Dimitrov Robin Staab Martin Vechev FedML 77 47 0 08 Nov 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 115 52 0 17 May 2021
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 316 29 0 27 Apr 2020