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1. Inferentially-Private Private Information

2. Truncated Consistency Models

3. Data Distribution Valuation

4. Privacy Requirements and Realities of Digital Public Goods

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

6. Improving the Training of Rectified Flows

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

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

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

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

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

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

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

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

15. Summary Statistic Privacy in Data Sharing

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

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

18. On the Privacy Properties of GAN-generated Samples

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

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

21. RareGAN: Generating Samples for Rare Classes

22. Distance-Aware Private Set Intersection

23. Locally Differentially Private Sparse Vector Aggregation

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

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

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

27. The Effect of Network Topology on Credit Network Throughput

28. Efficient Algorithms for Federated Saddle Point Optimization

29. Why Spectral Normalization Stabilizes GANs: Analysis and Improvements

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

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

32. Practical Low Latency Proof of Work Consensus

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

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

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

36. Communication cost of consensus for nodes with limited memory

37. Deconstructing the Blockchain to Approach Physical Limits

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

39. High Throughput Cryptocurrency Routing in Payment Channel Networks

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

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

42. Anonymity Properties of the Bitcoin P2P Network

43. Dandelion: Redesigning the Bitcoin Network for Anonymity

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

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

48. Hiding the Rumor Source

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

50. Spy vs. Spy: Rumor Source Obfuscation

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