Abstract is missing.
- Exact zCDP Characterizations for Fundamental Differentially Private MechanismsCharlie Harrison, Pasin Manurangsi. [doi]
- A Differentially Private Approximation of the Width ProblemMor Hale, Or Sheffet. [doi]
- Nearly-Optimal Private Selection via Gaussian MechanismEthan Leeman, Pasin Manurangsi. [doi]
- Fair Multi-Agent Persuasion with Submodular ConstraintsYannan Bai, Kamesh Munagala, Yiheng Shen 0001, Davidson Zhu. [doi]
- Privacy, Prediction, and AllocationBen Jacobsen, Nitin Kohli. [doi]
- Limitations on Accurate, Trusted, Human-Level ReasoningRina Panigrahy, Vatsal Sharan. [doi]
- Protecting the Undeleted in Machine UnlearningAloni Cohen, Refael Kohen, Kobbi Nissim, Uri Stemmer. [doi]
- Front Matter, Table of Contents, Preface, Conference Organization [doi]
- Learning Rate Scheduling with Matrix Factorization for Private TrainingNikita P. Kalinin, Joel Daniel Andersson. [doi]
- When to Ask a Question: Understanding Communication Strategies in Generative AI ToolsCharlotte Park, Kate Donahue, Manish Raghavan. [doi]
- Separating Oblivious and Adaptive Differential Privacy Under Continual ObservationMark Bun, Marco Gaboardi, Connor Wagaman. [doi]
- Normalized Square Root: Sharper Matrix Factorization Bounds for Differentially Private Continual Counting (Extended Abstract)Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay. [doi]
- Computational Hardness of Private CoresetBadih Ghazi, Cristóbal Guzmán, Pritish Kamath, Alexander Knop, Ravi Kumar 0001, Pasin Manurangsi. [doi]
- Packing Compact Subgraphs with Applications to DistrictingHo-Lin Chen, Po-Yu Chou, Prathamesh Dharangutte, Jie Gao 0001, Shang-En Huang, Fang-Yi Yu. [doi]
- Escaping the Subprime Trap in Algorithmic LendingAdam Bouyamourn, Alexander Williams Tolbert. [doi]
- Tradeoffs in Privacy, Welfare, and Fairness for Facility LocationSara Fish, Yannai A. Gonczarowski, Jason Z. Tang, Salil P. Vadhan. [doi]
- Incentivizing High-Quality Content in Online Recommender SystemsXinyan Hu, Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt. [doi]
- Inducing Efficient and Equitable Professional Networks Through Link RecommendationsCynthia Dwork, Chris Hays, Lunjia Hu, Nicole Immorlica, Juan C. Perdomo. [doi]
- Serving Clients Fairly: On Facility Location and k-Median with Fair OutliersRajni Dabas, Samir Khuller, Emilie Rivkin. [doi]
- Can We Watermark Low-Entropy LLM Outputs?Noam Mazor, Andrew Morgan, Rafael Pass. [doi]
- The Importance of Being Smoothly CalibratedParikshit Gopalan, Konstantinos Stavropoulos, Kunal Talwar, Pranay Tankala. [doi]
- Optimal Partition Selection with Rényi Differential PrivacyCharlie Harrison, Pasin Manurangsi. [doi]
- A Machine Learning Theory Perspective on Strategic LitigationMelissa Dutz, Han Shao 0001, Avrim Blum, Aloni Cohen. [doi]