{"total":20,"rows":[{"id":"2502.17041","title":"PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance","created":"2025-02-24","cited_by_count":37,"area":null},{"id":"2505.14590","title":"MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol","created":"2025-05-20","cited_by_count":34,"area":null},{"id":"2408.10053","title":"Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory","created":"2024-08-19","cited_by_count":18,"area":null},{"id":"2510.01645","title":"Position: Privacy Is Not Just Memorization!","created":"2025-10-02","cited_by_count":17,"area":null},{"id":"2509.09969","title":"Large Language Models Meet Legal Artificial Intelligence: A Survey","created":"2025-09-12","cited_by_count":10,"area":null},{"id":"2409.03735","title":"Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2503.04736","title":"Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance","created":"2025-02-03","cited_by_count":5,"area":null},{"id":"2505.15805","title":"Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering","created":"2025-05-21","cited_by_count":5,"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":"2503.11381","title":"Modeling Subjectivity in Cognitive Appraisal with Language Models","created":"2025-03-14","cited_by_count":3,"area":null},{"id":"2410.14276","title":"EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding","created":"2024-10-18","cited_by_count":2,"area":null},{"id":"2412.12040","title":"How Private are Language Models in Abstractive Summarization?","created":"2024-12-16","cited_by_count":2,"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":"2505.00021","title":"Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2506.19563","title":"PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2601.08690","title":"All Required, In Order: Phase-Level Evaluation for AI-Human Dialogue in Healthcare and Beyond","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2601.23094","title":"Safer Policy Compliance with Dynamic Epistemic Fallback","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2602.18448","title":"INSURE-Dial: A Phase-Aware Conversational Dataset & Benchmark for Compliance Verification and Phase Detection","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2503.12225","title":"Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents","created":"2025-03-15","cited_by_count":0,"area":null},{"id":"2604.12308","title":"ContextLens: Modeling Imperfect Privacy and Safety Context for Legal Compliance","created":"2026-04-14","cited_by_count":0,"area":null}],"next_cursor":null}