Sewoong Oh
University of Washington
H-index: 44
North America-United States
Top articles of Sewoong Oh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Privacy-Preserving Instructions for Aligning Large Language Models | arXiv preprint arXiv:2402.13659 | Da Yu Peter Kairouz Sewoong Oh Zheng Xu | 2024/2/21 |
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning | arXiv preprint arXiv:2402.08864 | S Ashwin Hebbar Sravan Kumar Ankireddy Hyeji Kim Sewoong Oh Pramod Viswanath | 2024/2/14 |
A learned score function improves the power of mass spectrometry database search | bioRxiv | Varun Ananth Justin Sanders Melih Yilmaz Sewoong Oh William Stafford Noble | 2024/1/30 |
Advancing differential privacy: Where we are now and future directions for real-world deployment | Rachel Cummings Damien Desfontaines David Evans Roxana Geambasu Yangsibo Huang | 2024/1/16 | |
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares | arXiv preprint arXiv:2404.15409 | Gavin Brown Jonathan Hayase Samuel Hopkins Weihao Kong Xiyang Liu | 2024/4/23 |
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune? | arXiv preprint arXiv:2402.18905 | Shuqi Ke Charlie Hou Giulia Fanti Sewoong Oh | 2024/2/29 |
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks | Advances in Neural Information Processing Systems | Daogao Liu Arun Ganesh Sewoong Oh Abhradeep Guha Thakurta | 2024/2/13 |
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness | Advances in Neural Information Processing Systems | Vivek Ramanujan Thao Nguyen Sewoong Oh Ali Farhadi Ludwig Schmidt | 2024/2/13 |
Why Is Public Pretraining Necessary for Private Model Training? | Arun Ganesh Mahdi Haghifam Milad Nasr Sewoong Oh Thomas Steinke | 2023/7/3 | |
Label Poisoning is All You Need | NeurIPS 2023 | Rishi D Jha Jonathan Hayase Sewoong Oh | 2023/10/29 |
Improving Multimodal Datasets with Image Captioning | Advances in Neural Information Processing Systems | Thao Nguyen Samir Yitzhak Gadre Gabriel Ilharco Sewoong Oh Ludwig Schmidt | 2024/2/13 |
One-shot empirical privacy estimation for federated learning | arXiv preprint arXiv:2302.03098 | Galen Andrew Peter Kairouz Sewoong Oh Alina Oprea H Brendan McMahan | 2023/2/6 |
Evaluating proteomics imputation methods with improved criteria | Journal of Proteome Research | Lincoln Harris William E Fondrie Sewoong Oh William S Noble | 2023/10/20 |
Gradient flows on graphons: existence, convergence, continuity equations | Journal of Theoretical Probability | Sewoong Oh Soumik Pal Raghav Somani Raghavendra Tripathi | 2023/7/3 |
Sequence-to-sequence translation from mass spectra to peptides with a transformer model | BioRxiv | Melih Yilmaz William E Fondrie Wout Bittremieux Carlo F Melendez Rowan Nelson | 2023/1/3 |
DPzero: Dimension-independent and differentially private zeroth-order optimization | arXiv preprint arXiv:2310.09639 | Liang Zhang Kiran Koshy Thekumparampil Sewoong Oh Niao He | 2023/10/14 |
Private Federated Learning with Autotuned Compression | ICML 2023 | Enayat Ullah Christopher A Choquette-Choo Peter Kairouz Sewoong Oh | 2023/6/15 |
Learning to generate image embeddings with user-level differential privacy | Zheng Xu Maxwell Collins Yuxiao Wang Liviu Panait Sewoong Oh | 2023 | |
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning | arXiv preprint arXiv:2310.04627 | Liam Collins Shanshan Wu Sewoong Oh Khe Chai Sim | 2023/10/6 |
Unleashing the Power of Randomization in Auditing Differentially Private ML | Advances in Neural Information Processing Systems | Krishna Pillutla Galen Andrew Peter Kairouz H Brendan McMahan Alina Oprea | 2024/2/13 |
Co-Authors
