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Yangsibo Huang
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2020 – today
- 2024
- [i19]Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson:
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. CoRR abs/2402.05162 (2024) - 2023
- [j2]Yangsibo Huang, Chun-Yin Huang, Xiaoxiao Li, Kai Li:
A Dataset Auditing Method for Collaboratively Trained Machine Learning Models. IEEE Trans. Medical Imaging 42(7): 2081-2090 (2023) - [c9]Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen:
Privacy Implications of Retrieval-Based Language Models. EMNLP 2023: 14887-14902 - [c8]Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang:
Sparsity-Preserving Differentially Private Training of Large Embedding Models. NeurIPS 2023 - [i18]Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, Yin Tat Lee:
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models. CoRR abs/2302.10879 (2023) - [i17]Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang:
Challenges towards the Next Frontier in Privacy. CoRR abs/2304.06929 (2023) - [i16]Jiaxi Yang, Wenglong Deng, Benlin Liu, Yangsibo Huang, Xiaoxiao Li:
Matching-based Data Valuation for Generative Model. CoRR abs/2304.10701 (2023) - [i15]Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen:
Privacy Implications of Retrieval-Based Language Models. CoRR abs/2305.14888 (2023) - [i14]Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni:
Learning across Data Owners with Joint Differential Privacy. CoRR abs/2305.15723 (2023) - [i13]Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen:
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. CoRR abs/2310.06987 (2023) - [i12]Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer:
Detecting Pretraining Data from Large Language Models. CoRR abs/2310.16789 (2023) - [i11]Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang:
Sparsity-Preserving Differentially Private Training of Large Embedding Models. CoRR abs/2311.08357 (2023) - 2022
- [c7]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. NeurIPS 2022 - [i10]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. CoRR abs/2205.08514 (2022) - 2021
- [c6]Yangsibo Huang, Xiaoxiao Li, Kai Li:
EMA: Auditing Data Removal from Trained Models. MICCAI (5) 2021: 793-803 - [c5]Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora:
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. NeurIPS 2021: 7232-7241 - [i9]Yangsibo Huang, Xiaoxiao Li, Kai Li:
EMA: Auditing Data Removal from Trained Models. CoRR abs/2109.03675 (2021) - [i8]Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora:
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. CoRR abs/2112.00059 (2021) - 2020
- [c4]Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. IEEE BigData 2020: 4715-4723 - [c3]Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora:
TextHide: Tackling Data Privacy for Language Understanding Tasks. EMNLP (Findings) 2020: 1368-1382 - [c2]Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora:
InstaHide: Instance-hiding Schemes for Private Distributed Learning. ICML 2020: 4507-4518 - [i7]Yangsibo Huang, Yushan Su, Sachin Ravi, Zhao Song, Sanjeev Arora, Kai Li:
Privacy-preserving Learning via Deep Net Pruning. CoRR abs/2003.01876 (2020) - [i6]Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li:
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography. CoRR abs/2005.11098 (2020) - [i5]Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora:
InstaHide: Instance-hiding Schemes for Private Distributed Learning. CoRR abs/2010.02772 (2020) - [i4]Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora:
TextHide: Tackling Data Privacy in Language Understanding Tasks. CoRR abs/2010.06053 (2020) - [i3]Xiaoxiao Li, Yangsibo Huang, Binghui Peng, Zhao Song, Kai Li:
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery. CoRR abs/2010.11463 (2020) - [i2]Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. CoRR abs/2012.12581 (2020)
2010 – 2019
- 2019
- [j1]Yunze Man, Yangsibo Huang, Junyi Feng, Xi Li, Fei Wu:
Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net. IEEE Trans. Medical Imaging 38(8): 1971-1980 (2019) - [c1]Ryan Neph, Yangsibo Huang, Youming Yang, Ke Sheng:
DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy. AIRT@MICCAI 2019: 137-145 - [i1]Yunze Man, Yangsibo Huang, Junyi Feng, Xi Li, Fei Wu:
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net. CoRR abs/1904.09120 (2019)
Coauthor Index
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