{"total":20,"rows":[{"id":"2208.14137","title":"On the Trade-Off between Actionable Explanations and the Right to be Forgotten","created":"2022-08-30","cited_by_count":20,"area":null},{"id":"2211.15220","title":"Federated Learning for 5G Base Station Traffic Forecasting","created":"2022-11-28","cited_by_count":15,"area":null},{"id":"2107.08096","title":"Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization","created":"2021-07-16","cited_by_count":9,"area":null},{"id":"2303.13521","title":"Scamming the Scammers: Using ChatGPT to Reply Mails for Wasting Time and Resources","created":"2023-02-10","cited_by_count":8,"area":null},{"id":"2405.19471","title":"The Data Minimization Principle in Machine Learning","created":"2024-05-29","cited_by_count":7,"area":null},{"id":"2210.09904","title":"MaSS: Multi-attribute Selective Suppression","created":"2022-10-18","cited_by_count":5,"area":null},{"id":"2310.14312","title":"Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis","created":"2023-10-22","cited_by_count":5,"area":null},{"id":"2304.07296","title":"MLOps Spanning Whole Machine Learning Life Cycle: A Survey","created":"2023-04-13","cited_by_count":3,"area":null},{"id":"2311.10500","title":"From Principle to Practice: Vertical Data Minimization for Machine Learning","created":"2023-11-17","cited_by_count":3,"area":null},{"id":"2504.16969","title":"Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models","created":"2025-04-23","cited_by_count":3,"area":null},{"id":"2310.15848","title":"On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms","created":"2023-10-24","cited_by_count":2,"area":null},{"id":"2210.12198","title":"Anonymous Bandits for Multi-User Systems","created":"2022-10-21","cited_by_count":1,"area":null},{"id":"2210.13954","title":"I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data","created":"2022-10-25","cited_by_count":1,"area":null},{"id":"2508.10836","title":"SoK: Data Minimization in Machine Learning","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2305.08265","title":"Vehicle Detection and Classification without Residual Calculation: Accelerating HEVC Image Decoding with Random Perturbation Injection","created":"2023-05-14","cited_by_count":0,"area":null},{"id":"2306.15044","title":"Towards Sybil Resilience in Decentralized Learning","created":"2023-06-26","cited_by_count":0,"area":null},{"id":"2410.07182","title":"The trade-off between data minimization and fairness in collaborative filtering","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2512.15469","title":"Metanetworks as Regulatory Operators: Learning to Edit for Requirement Compliance","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2601.20773","title":"Smoothing the Black-Box: Signed-Distance Supervision for Black-Box Model Copying","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2603.26354","title":"Only Whats Necessary: Pareto Optimal Data Minimization for Privacy Preserving Video Anomaly Detection","created":"2026-03-27","cited_by_count":0,"area":null}],"next_cursor":null}