Showing 21–38 of 38 results
/ Date/ Name
Jul 11, 2018Differentially-Private "Draw and Discard" Machine LearningApr 12, 2012Privacy via the Johnson-Lindenstrauss TransformJun 19, 2025External Evaluation of Discrimination Mitigation Efforts in Meta's Ad DeliveryJun 8, 2025Adultification Bias in LLMs and Text-to-Image ModelsApr 20, 2020On the Data Fight Between Cities and Mobility ProvidersDec 18, 2019The power of synergy in differential privacy: Combining a small curator with local randomizersNov 13, 2025An External Fairness Evaluation of LinkedIn Talent SearchDec 17, 2025FrontierCS: Evolving Challenges for Evolving IntelligenceMay 21, 2011Personalized Social Recommendations - Accurate or Private?Dec 10, 2019Advances and Open Problems in Federated LearningApr 10, 2025Multi-Selection for Recommendation SystemsFeb 17, 2026The Geometry of Alignment Collapse: When Fine-Tuning Breaks SafetyJul 25, 2014RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal ResponseFeb 20, 2026Measuring Validity in LLM-based Resume ScreeningDec 9, 2019Ad Delivery Algorithms: The Hidden Arbiters of Political MessagingSep 29, 2025AutoCode: LLMs as Problem Setters for Competitive ProgrammingSep 27, 2025ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-SearchApr 3, 2019Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes