{"total":13,"rows":[{"id":"2106.03785","title":"Generative Adversarial Networks: A Survey Towards Private and Secure Applications","created":"2021-06-07","cited_by_count":15,"area":null},{"id":"2107.09543","title":"Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging","created":"2021-07-20","cited_by_count":15,"area":null},{"id":"2409.14676","title":"TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation","created":"2024-09-23","cited_by_count":6,"area":null},{"id":"2503.08173","title":"Towards All-in-One Medical Image Re-Identification","created":"2025-03-11","cited_by_count":6,"area":null},{"id":"2209.11531","title":"Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy","created":"2022-09-23","cited_by_count":5,"area":null},{"id":"2311.04833","title":"Anonymizing medical case-based explanations through disentanglement","created":"2023-11-08","cited_by_count":5,"area":null},{"id":"2412.03924","title":"Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications","created":"2024-12-05","cited_by_count":2,"area":null},{"id":"2507.21703","title":"Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification","created":"2025-07-25","cited_by_count":2,"area":null},{"id":"2406.12736","title":"Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2305.13756","title":"Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation","created":"2023-05-23","cited_by_count":0,"area":null},{"id":"2403.09172","title":"SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph","created":"2024-03-14","cited_by_count":0,"area":null},{"id":"2507.10194","title":"Learning Private Representations through Entropy-based Adversarial Training","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2603.02886","title":"StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting","created":"2026-03-03","cited_by_count":0,"area":null}],"next_cursor":null}