Yangsibo Huang

Orcid: 0000-0002-0640-4845

According to our database1, Yangsibo Huang authored at least 21 papers between 2019 and 2024.

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Bibliography

2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.
CoRR, 2024

2023
A Dataset Auditing Method for Collaboratively Trained Machine Learning Models.
IEEE Trans. Medical Imaging, 2023

Detecting Pretraining Data from Large Language Models.
CoRR, 2023

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.
CoRR, 2023

Learning across Data Owners with Joint Differential Privacy.
CoRR, 2023

Matching-based Data Valuation for Generative Model.
CoRR, 2023

Challenges towards the Next Frontier in Privacy.
CoRR, 2023

kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models.
CoRR, 2023

Sparsity-Preserving Differentially Private Training of Large Embedding Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Privacy Implications of Retrieval-Based Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Recovering Private Text in Federated Learning of Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

EMA: Auditing Data Removal from Trained Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery.
CoRR, 2020

Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography.
CoRR, 2020

Privacy-preserving Learning via Deep Net Pruning.
CoRR, 2020

InstaHide: Instance-hiding Schemes for Private Distributed Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

TextHide: Tackling Data Privacy for Language Understanding Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net.
IEEE Trans. Medical Imaging, 2019

DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019


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