Oh, Sewoong

The composition theorem for differential privacy

Kairouz, P., Oh, S., & Viswanath, P. (2017) · IEEE Transactions on Information Theory

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 408

DataComp: In search of the next generation of multimodal datasets

Gadre, S. Y., Ilharco, G., Fang, A., Hayase, J., Smyrnis, G., Nguyen, T., Marten, R., Wortsman, M., Ghosh, D., Zhang, J., et al. (2023) · Advances in Neural Information Processing Systems 36

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 120

LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks

Jiang, Y., Kim, H., Asnani, H., Kannan, S., Oh, S., & Viswanath, P. (2020) · IEEE Journal on Selected Areas in Information Theory

Error Correcting Code TechniquesCoding theory and cryptography

Cited by 87

AirGapAgent: Protecting Privacy-Conscious Conversational Agents

Bagdasarian, E., Yi, R., Ghalebikesabi, S., Kairouz, P., Gruteser, M., Oh, S., Balle, B., & Ramage, D. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 28

Minimax Rates of Estimating Approximate Differential Privacy

Liu, X., & Oh, S. (2019) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 4

OpenThoughts: Data Recipes for Reasoning Models

Guha, E., Marten, R., Keh, S., Raoof, N., Smyrnis, G., Bansal, H., Nezhurina, M., Mercat, J., Vu, T., Sprague, Z., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

Spurious Rewards: Rethinking Training Signals in RLVR

Shao, R., Li, S. S., Xin, R., Geng, S., Wang, Y., Oh, S., Du, S. S., Lambert, N., Min, S., Krishna, R., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 1

Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models

Nguyen, T., Li, Y., Golovneva, O., Zettlemoyer, L., Oh, S., Schmidt, L., & Li, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0