Follow
Yangsibo Huang
Title
Cited by
Cited by
Year
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Y Huang, S Gupta, Z Song, K Li, S Arora
NeurIPS 2021, 2021
1862021
Deep Q learning driven CT pancreas segmentation with geometry-aware U-Net
Y Man*, Y Huang*, J Feng, X Li, F Wu
IEEE Transactions on Medical Imaging, 2019
1352019
Instahide: Instance-hiding schemes for private distributed learning
Y Huang, Z Song, K Li, S Arora
ICML 2020, 2020
1312020
Catastrophic Jailbreak of Open-Source LLMs via Exploiting Generation
Y Huang, S Gupta, M Xia, K Li, D Chen
ICLR 2024, 2024
532024
TextHide: Tackling Data Privacy in Language Understanding Tasks
Y Huang, Z Song, D Chen, K Li, S Arora
EMNLP (Findings) 2020, 2020
472020
Detecting pretraining data from large language models
W Shi, A Ajith, M Xia, Y Huang, D Liu, T Blevins, D Chen, L Zettlemoyer
ICLR 2024, 2024
392024
Recovering Private Text in Federated Learning of Language Models
S Gupta*, Y Huang*, Z Zhong, T Gao, K Li, D Chen
NeurIPS 2022, 2022
392022
Advancing differential privacy: Where we are now and future directions for real-world deployment
R Cummings, D Desfontaines, D Evans, R Geambasu, Y Huang, ...
PubPub 6 (1), 2024
28*2024
DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy
R Neph, Q Lyu, Y Huang, YM Yang, K Sheng
Physics in Medicine & Biology 66 (3), 035022, 2021
272021
Privacy-Preserving Learning via Deep Net Pruning
Y Huang, Y Su, S Ravi, Z Song, S Arora, K Li
arXiv preprint arXiv:2003.01876, 2020
18*2020
A Dataset Auditing Method for Collaboratively Trained Machine Learning Models
Y Huang, CY Huang, X Li, K Li
IEEE Transactions on Medical Imaging, 2022
17*2022
Deepmcdose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in Mr-Guided Radiotherapy
R Neph, Y Huang, Y Yang, K Sheng
Artificial Intelligence in Radiation Therapy: First International Workshop …, 2019
122019
Privacy Implications of Retrieval-Based Language Models
Y Huang, S Gupta, Z Zhong, K Li, D Chen
EMNLP 2023, 2023
62023
NN-Adapter: Efficient Domain Adaptation for Black-Box Language Models
Y Huang, D Liu, Z Zhong, W Shi, YT Lee
arXiv preprint arXiv:2302.10879, 2023
62023
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks
W Qiu, Y Huang, Q Li
2020 IEEE International Conference on Big Data (Big Data), 2020
52020
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
B Wei*, K Huang*, Y Huang*, T Xie, X Qi, M Xia, P Mittal, M Wang, ...
arXiv preprint arXiv:2402.05162, 2024
32024
Deep Learning Based Detection and Localization of Intracranial Aneurysms in Computed Tomography Angiography
D Wu, D Montes, Z Duan, Y Huang, JM Romero, RG Gonzalez, Q Li
arXiv preprint arXiv:2005.11098, 2020
22020
MixCon: Adjusting the separability of data representations for harder data recovery
X Li, Y Huang, B Peng, Z Song, K Li
arXiv preprint arXiv:2010.11463, 2020
12020
A Safe Harbor for AI Evaluation and Red Teaming
S Longpre, S Kapoor, K Klyman, A Ramaswami, R Bommasani, ...
arXiv preprint arXiv:2403.04893, 2024
2024
Evaluating gradient inversion attacks and defenses
Y Huang, S Gupta, Z Song, S Arora, K Li
Federated Learning, 105-122, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20