{"total":27,"rows":[{"id":"2110.06500","title":"Differentially Private Fine-tuning of Language Models","created":"2021-10-13","cited_by_count":400,"area":null},{"id":"2304.08442","title":"The MiniPile Challenge for Data-Efficient Language Models","created":"2023-04-17","cited_by_count":75,"area":null},{"id":"2206.00216","title":"THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption","created":"2022-06-01","cited_by_count":57,"area":null},{"id":"2212.01539","title":"Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping","created":"2022-12-03","cited_by_count":52,"area":null},{"id":"2109.06598","title":"Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP","created":"2021-09-14","cited_by_count":47,"area":null},{"id":"2205.12506","title":"Memorization in NLP Fine-tuning Methods","created":"2022-05-25","cited_by_count":45,"area":null},{"id":"2310.01424","title":"Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey","created":"2023-09-27","cited_by_count":30,"area":null},{"id":"2110.00135","title":"UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis","created":"2021-10-01","cited_by_count":28,"area":null},{"id":"2308.13894","title":"FwdLLM: Efficient FedLLM using Forward Gradient","created":"2023-08-26","cited_by_count":26,"area":null},{"id":"2205.10162","title":"FedAdapter: Efficient Federated Learning for Modern NLP","created":"2022-05-20","cited_by_count":25,"area":null},{"id":"2110.01643","title":"Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning","created":"2021-10-04","cited_by_count":18,"area":null},{"id":"2305.15008","title":"Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization","created":"2023-05-24","cited_by_count":17,"area":null},{"id":"2212.05974","title":"Federated Few-Shot Learning for Mobile NLP","created":"2022-12-12","cited_by_count":15,"area":null},{"id":"2202.02575","title":"Differentially Private Graph Classification with GNNs","created":"2022-02-05","cited_by_count":12,"area":null},{"id":"2208.08140","title":"Differential Privacy in Natural Language Processing: The Story So Far","created":"2022-08-17","cited_by_count":12,"area":null},{"id":"2302.01190","title":"On the Efficacy of Differentially Private Few-shot Image Classification","created":"2023-02-02","cited_by_count":12,"area":null},{"id":"2306.08173","title":"Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training","created":"2023-06-13","cited_by_count":7,"area":null},{"id":"2508.09809","title":"A Comprehensive Review of Datasets for Clinical Mental Health AI Systems","created":"2025-08-13","cited_by_count":3,"area":null},{"id":"2502.00451","title":"Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities","created":"2025-02-01","cited_by_count":2,"area":null},{"id":"2302.09243","title":"A Federated Approach for Hate Speech Detection","created":"2023-02-18","cited_by_count":1,"area":null},{"id":"2306.05652","title":"Privacy Aware Question-Answering System for Online Mental Health Risk Assessment","created":"2023-06-09","cited_by_count":1,"area":null},{"id":"2405.13832","title":"Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2410.08299","title":"Privately Learning from Graphs with Applications in Fine-tuning Large Language Models","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2203.10432","title":"Interpretability of Fine-grained Classification of Sadness and Depression","created":"2022-03-20","cited_by_count":0,"area":null},{"id":"2411.06995","title":"Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2603.13655","title":"Privacy Preserving Topic-wise Sentiment Analysis of the Iran Israel USA Conflict Using Federated Transformer Models","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2605.18936","title":"FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}