{"total":15,"rows":[{"id":"2312.05386","title":"Model Extraction Attacks Revisited","created":"2023-12-08","cited_by_count":21,"area":null},{"id":"2304.13407","title":"FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models","created":"2023-04-26","cited_by_count":17,"area":null},{"id":"2306.12212","title":"MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates","created":"2023-06-21","cited_by_count":10,"area":null},{"id":"2401.08216","title":"Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning","created":"2024-01-16","cited_by_count":7,"area":null},{"id":"2503.04564","title":"Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association","created":"2025-03-06","cited_by_count":7,"area":null},{"id":"2402.02506","title":"Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things","created":"2024-02-04","cited_by_count":6,"area":null},{"id":"2404.00673","title":"A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures","created":"2024-03-31","cited_by_count":6,"area":null},{"id":"2501.05053","title":"TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning","created":"2025-01-09","cited_by_count":4,"area":null},{"id":"2310.12707","title":"Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples","created":"2023-10-19","cited_by_count":2,"area":null},{"id":"2508.00596","title":"Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience","created":"2025-08-01","cited_by_count":2,"area":null},{"id":"2306.03679","title":"Human-imperceptible, Machine-recognizable Images","created":"2023-06-06","cited_by_count":1,"area":null},{"id":"2309.09253","title":"User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks","created":"2023-09-17","cited_by_count":1,"area":null},{"id":"2305.03617","title":"MAF-Net: Multiple attention-guided fusion network for fundus vascular image segmentation","created":"2023-05-05","cited_by_count":0,"area":null},{"id":"2411.19678","title":"Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation","created":"2024-11-29","cited_by_count":0,"area":null},{"id":"2606.07277","title":"The Capacity of Information-Theoretic Secure Aggregation in Federated Learning","created":"2026-06-05","cited_by_count":0,"area":null}],"next_cursor":null}