Jiayuan Ye

Orcid: 0000-0003-4982-6666

Affiliations:
  • National University of Singapore, Singapore


According to our database1, Jiayuan Ye authored at least 14 papers between 2021 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Generalization in LLM Problem Solving: The Case of the Shortest Path.
CoRR, April, 2026

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts.
CoRR, April, 2026

Optimal Splitting of Language Models from Mixtures to Specialized Domains.
CoRR, March, 2026

2025
Instance-Optimality for Private KL Distribution Estimation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Leave-one-out Distinguishability in Machine Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Privacy Analyses in Machine Learning.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence).
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhanced Membership Inference Attacks against Machine Learning Models.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Enhanced Membership Inference Attacks against Machine Learning Models.
CoRR, 2021

Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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