{"total":30,"rows":[{"id":"2303.00654","title":"How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy","created":"2023-03-01","cited_by_count":153,"area":null},{"id":"2203.15205","title":"SPAct: Self-supervised Privacy Preservation for Action Recognition","created":"2022-03-29","cited_by_count":47,"area":null},{"id":"2112.12785","title":"NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning","created":"2021-12-23","cited_by_count":21,"area":null},{"id":"2205.13122","title":"To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects","created":"2022-05-26","cited_by_count":21,"area":null},{"id":"2206.03891","title":"PrivHAR: Recognizing Human Actions From Privacy-preserving Lens","created":"2022-06-08","cited_by_count":16,"area":null},{"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":"2208.02459","title":"Privacy-Preserving Action Recognition via Motion Difference Quantization","created":"2022-08-04","cited_by_count":14,"area":null},{"id":"2312.08890","title":"Defenses in Adversarial Machine Learning: A Survey","created":"2023-12-13","cited_by_count":14,"area":null},{"id":"2105.03812","title":"Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors","created":"2021-05-09","cited_by_count":10,"area":null},{"id":"2308.11223","title":"LDP-Feat: Image Features with Local Differential Privacy","created":"2023-08-22","cited_by_count":10,"area":null},{"id":"2307.10981","title":"PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks","created":"2023-07-20","cited_by_count":9,"area":null},{"id":"2205.01950","title":"Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation","created":"2022-05-04","cited_by_count":5,"area":null},{"id":"2311.06231","title":"Learning Human Action Recognition Representations Without Real Humans","created":"2023-11-10","cited_by_count":5,"area":null},{"id":"2209.04022","title":"Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions","created":"2022-09-08","cited_by_count":4,"area":null},{"id":"2408.00950","title":"PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services","created":"2024-08-01","cited_by_count":4,"area":null},{"id":"2211.12864","title":"Privacy-Enhancing Optical Embeddings for Lensless Classification","created":"2022-11-23","cited_by_count":3,"area":null},{"id":"2410.17098","title":"Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy","created":"2024-10-22","cited_by_count":3,"area":null},{"id":"2412.11066","title":"Learning Robust and Privacy-Preserving Representations via Information Theory","created":"2024-12-15","cited_by_count":3,"area":null},{"id":"2503.02132","title":"Video-DPRP: A Differentially Private Approach for Visual Privacy-Preserving Video Human Activity Recognition","created":"2025-03-03","cited_by_count":3,"area":null},{"id":"2212.02611","title":"StyleGAN as a Utility-Preserving Face De-identification Method","created":"2022-12-05","cited_by_count":2,"area":null},{"id":"2404.05047","title":"Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4","created":"2024-04-07","cited_by_count":2,"area":null},{"id":"2208.02482","title":"Privacy Safe Representation Learning via Frequency Filtering Encoder","created":"2022-08-04","cited_by_count":1,"area":null},{"id":"2605.00562","title":"Depth-Guided Privacy-Preserving Visual Localization Using 3D Sphere Clouds","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2209.00617","title":"Fair mapping","created":"2022-09-01","cited_by_count":0,"area":null},{"id":"2303.07510","title":"Schr\\\"odinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera","created":"2023-03-13","cited_by_count":0,"area":null},{"id":"2404.05043","title":"Optimizing Privacy and Utility Tradeoffs for Group Interests Through Harmonization","created":"2024-04-07","cited_by_count":0,"area":null},{"id":"2503.09306","title":"Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations","created":"2025-03-12","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":"2604.22310","title":"Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image Queries in Visual Localization","created":"2026-04-24","cited_by_count":0,"area":null}],"next_cursor":null}