{"total":14,"rows":[{"id":"2510.03662","title":"Operationalizing Data Minimization for Privacy-Preserving LLM Prompting","created":"2025-10-04","cited_by_count":8,"area":null},{"id":"2601.19956","title":"VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models","created":"2026-01-27","cited_by_count":7,"area":null},{"id":"2505.20464","title":"The Impact of a Chatbot's Ephemerality-Framing on Self-Disclosure Perceptions","created":"2025-05-26","cited_by_count":6,"area":null},{"id":"2503.03532","title":"AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking","created":"2025-03-05","cited_by_count":4,"area":null},{"id":"2505.14549","title":"Can Large Language Models Really Recognize Your Name?","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2602.10074","title":"CAPID: Context-Aware PII Detection for Question-Answering Systems","created":"2026-02-10","cited_by_count":3,"area":null},{"id":"2604.00209","title":"Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations","created":"2026-03-31","cited_by_count":2,"area":null},{"id":"2604.17827","title":"Local-First Intelligence via Proactive SLM Collaborating with Feedback-Providing LLM","created":"2026-04-20","cited_by_count":2,"area":null},{"id":"2510.20612","title":"Black Box Absorption: LLMs Undermining Innovative Ideas","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2604.06831","title":"Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2602.08268","title":"Puda: Private User Dataset Agent for User-Sovereign and Privacy-Preserving Personalized AI","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2602.17418","title":"A Privacy by Design Framework for Large Language Model-Based Applications for Children","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2608.29251","title":"GuardianAgent: Policy-Conditioned Risk-Adaptive Anonymization with Verified Adversarial Escalation","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.32706","title":"Learning to Refer: Client-Resolved Generation for Privacy-Aware Language Models","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}