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1. Game Theoretic Liquidity Provisioning in Concentrated Liquidity Market Makers

2. Inferentially-Private Private Information

3. Truncated Consistency Models

4. Data Distribution Valuation

5. Privacy Requirements and Realities of Digital Public Goods

6. PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

7. Improving the Training of Rectified Flows

8. Almost Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy

9. On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?

10. Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown

11. Mixture-of-Linear-Experts for Long-term Time Series Forecasting

12. User Experiences with Third-Party SIM Cards and ID Registration in Kenya and Tanzania

13. The Role of User-Agent Interactions on Mobile Money Practices in Kenya and Tanzania

14. Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity

15. CFT-Forensics: High-Performance Byzantine Accountability for Crash Fault Tolerant Protocols

16. Summary Statistic Privacy in Data Sharing

17. Privately Customizing Prefinetuning to Better Match User Data in Federated Learning

18. Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection

19. On the Privacy Properties of GAN-generated Samples

20. Towards a Defense Against Federated Backdoor Attacks Under Continuous Training

21. Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

22. RareGAN: Generating Samples for Rare Classes

23. Distance-Aware Private Set Intersection

24. Locally Differentially Private Sparse Vector Aggregation

25. FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning

26. Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention

27. Self-Supervised Euphemism Detection and Identification for Content Moderation

28. The Effect of Network Topology on Credit Network Throughput

29. Efficient Algorithms for Federated Saddle Point Optimization

30. Why Spectral Normalization Stabilizes GANs: Analysis and Improvements

31. SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning

32. Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

33. Practical Low Latency Proof of Work Consensus

34. Barracuda: The Power of $\ell$-polling in Proof-of-Stake Blockchains

35. Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks

36. InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

37. Communication cost of consensus for nodes with limited memory

38. Deconstructing the Blockchain to Approach Physical Limits

39. Compounding of Wealth in Proof-of-Stake Cryptocurrencies

40. High Throughput Cryptocurrency Routing in Payment Channel Networks

41. Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees

42. PacGAN: The power of two samples in generative adversarial networks

43. Anonymity Properties of the Bitcoin P2P Network

44. Dandelion: Redesigning the Bitcoin Network for Anonymity

45. Rangzen: Anonymously Getting the Word Out in a Blackout

48. Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy

49. Hiding the Rumor Source

50. Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries

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