{"total":27,"rows":[{"id":"2110.15122","title":"CAFE: Catastrophic Data Leakage in Vertical Federated Learning","created":"2021-10-26","cited_by_count":76,"area":null},{"id":"2206.07284","title":"A Survey on Gradient Inversion: Attacks, Defenses and Future Directions","created":"2022-06-15","cited_by_count":40,"area":null},{"id":"2108.04725","title":"PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage","created":"2021-08-10","cited_by_count":28,"area":null},{"id":"2212.03714","title":"Reconstructing Training Data from Model Gradient, Provably","created":"2022-12-07","cited_by_count":27,"area":null},{"id":"2306.14123","title":"Privacy and Fairness in Federated Learning: on the Perspective of Trade-off","created":"2023-06-25","cited_by_count":26,"area":null},{"id":"2208.06163","title":"Dropout is NOT All You Need to Prevent Gradient Leakage","created":"2022-08-12","cited_by_count":11,"area":null},{"id":"2201.11934","title":"A Secure and Efficient Federated Learning Framework for NLP","created":"2022-01-28","cited_by_count":9,"area":null},{"id":"2503.11514","title":"Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks","created":"2025-03-13","cited_by_count":9,"area":null},{"id":"2205.03168","title":"Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data","created":"2022-05-06","cited_by_count":8,"area":null},{"id":"2401.16687","title":"Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks","created":"2024-01-30","cited_by_count":7,"area":null},{"id":"2402.09478","title":"Data Reconstruction Attacks and Defenses: A Systematic Evaluation","created":"2024-02-13","cited_by_count":6,"area":null},{"id":"2210.16947","title":"Two Models are Better than One: Federated Learning Is Not Private For Google GBoard Next Word Prediction","created":"2022-10-30","cited_by_count":4,"area":null},{"id":"2306.07883","title":"Temporal Gradient Inversion Attacks with Robust Optimization","created":"2023-06-13","cited_by_count":4,"area":null},{"id":"2308.06822","title":"Approximate and Weighted Data Reconstruction Attack in Federated Learning","created":"2023-08-13","cited_by_count":4,"area":null},{"id":"2402.03124","title":"Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks","created":"2024-02-05","cited_by_count":4,"area":null},{"id":"2204.13808","title":"Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning","created":"2022-04-25","cited_by_count":3,"area":null},{"id":"2305.12997","title":"Evaluating Privacy Leakage in Split Learning","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2404.09430","title":"On the Efficiency of Privacy Attacks in Federated Learning","created":"2024-04-15","cited_by_count":3,"area":null},{"id":"2208.04767","title":"Combining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study","created":"2022-08-09","cited_by_count":2,"area":null},{"id":"2309.04515","title":"Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks","created":"2023-09-08","cited_by_count":2,"area":null},{"id":"2405.03516","title":"GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge","created":"2024-05-06","cited_by_count":2,"area":null},{"id":"2410.09676","title":"Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning","created":"2024-10-13","cited_by_count":2,"area":null},{"id":"2410.16121","title":"Extracting Spatiotemporal Data from Gradients with Large Language Models","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2505.20026","title":"Gradient Inversion Transcript: Leveraging Robust Generative Priors to Reconstruct Training Data from Gradient Leakage","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2409.19301","title":"Privacy Attack in Federated Learning is Not Easy: An Experimental Study","created":"2024-09-28","cited_by_count":0,"area":null},{"id":"2503.20952","title":"TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models","created":"2025-03-26","cited_by_count":0,"area":null},{"id":"2509.09742","title":"Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning","created":"2025-09-11","cited_by_count":0,"area":null}],"next_cursor":null}