Zinan Lin

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICML 2024 | July 2024

Spotlight

Publication Project

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

ECCV 2024 | July 2024

Publication

Statistic Maximal Leakage

Shuaiqi Wang, Zinan Lin, Giulia Fanti

July 2024

ISIT 2024

Project

Can LLMs Learn by Teaching? A Preliminary Study

Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

June 2024

Publication

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2024 | June 2024

Publication

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin

ICLR 2024 | May 2024

Publication Publication Github Project

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Project

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

ICLR 2024 | May 2024

Publication Publication Publication

Mixture-of-Linear-Experts for Long-term Time Series Forecasting

Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti

AISTATS 2024 | May 2024

Publication

Efficiently Computing Similarities to Private Datasets

Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski

ICLR 2024 | May 2024

Publication Project

Rescaling Intermediate Features Makes Trained Consistency Models Perform Better

Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko

ICLR (TinyPapers) 2024 | May 2024

Publication

Selective Pre-training for Private Fine-tuning

Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

TMLR | May 2024

Publication Publication Project

Summary Statistic Privacy in Data Sharing

Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti

IEEE Journal on Selected Areas in Information Theory | March 2024

Publication Project

Training Private and Efficient Language Models with Synthetic Data from LLMs

Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

NeurIPS 2023 SoLaR Workshop | December 2023

Publication Project

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

ICML 2023 | July 2023

Publication

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

NeurIPS 2023 | June 2023

Outstanding Paper Award

Publication Project

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

ECCV 2024 | July 2024

Publication

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICML 2024 | July 2024

Spotlight

Publication Project

Statistic Maximal Leakage

Shuaiqi Wang, Zinan Lin, Giulia Fanti

July 2024

ISIT 2024

Project

Can LLMs Learn by Teaching? A Preliminary Study

Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

June 2024

Publication

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2024 | June 2024

Publication

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Project

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

ICLR 2024 | May 2024

Publication Publication Publication

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin

ICLR 2024 | May 2024

Publication Publication Github Project

Mixture-of-Linear-Experts for Long-term Time Series Forecasting

Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti

AISTATS 2024 | May 2024

Publication

Rescaling Intermediate Features Makes Trained Consistency Models Perform Better

Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko

ICLR (TinyPapers) 2024 | May 2024

Publication

Summary Statistic Privacy in Data Sharing

Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti

IEEE Journal on Selected Areas in Information Theory | March 2024

Publication Project

Training Private and Efficient Language Models with Synthetic Data from LLMs

Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

NeurIPS 2023 SoLaR Workshop | December 2023

Publication Project

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

ICML 2023 | July 2023

Publication

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

NeurIPS 2023 | June 2023

Outstanding Paper Award

Publication Project

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

ECCV 2024 | July 2024

Publication

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2024 | June 2024

Publication

Rescaling Intermediate Features Makes Trained Consistency Models Perform Better

Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko

ICLR (TinyPapers) 2024 | May 2024

Publication

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

ICML 2023 | July 2023

Publication

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICML 2024 | July 2024

Spotlight

Publication Project

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin

ICLR 2024 | May 2024

Publication Publication Github Project

Efficiently Computing Similarities to Private Datasets

Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski

ICLR 2024 | May 2024

Publication Project

Selective Pre-training for Private Fine-tuning

Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

TMLR | May 2024

Publication Publication Project

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICML 2024 | July 2024

Spotlight

Publication Project

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin

ICLR 2024 | May 2024

Publication Publication Github Project

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICML 2024 | July 2024

Spotlight

Publication Project

Statistic Maximal Leakage

Shuaiqi Wang, Zinan Lin, Giulia Fanti

July 2024

ISIT 2024

Project

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Project

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin

ICLR 2024 | May 2024

Publication Publication Github Project

Efficiently Computing Similarities to Private Datasets

Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski

ICLR 2024 | May 2024

Publication Project

Selective Pre-training for Private Fine-tuning

Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

TMLR | May 2024

Publication Publication Project

Summary Statistic Privacy in Data Sharing

Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti

IEEE Journal on Selected Areas in Information Theory | March 2024

Publication Project

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

NeurIPS 2023 | June 2023

Outstanding Paper Award

Publication Project

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

ICLR 2024 | May 2024

Publication Publication Publication

Statistic Maximal Leakage

Shuaiqi Wang, Zinan Lin, Giulia Fanti

July 2024

ISIT 2024

Project

Can LLMs Learn by Teaching? A Preliminary Study

Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

June 2024

Publication

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

ECCV 2024 | July 2024

Publication

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICML 2024 | July 2024

Spotlight

Publication Project

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

CVPR 2024 | June 2024

Publication

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Project

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

ICLR 2024 | May 2024

Publication Publication Publication

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin

ICLR 2024 | May 2024

Publication Publication Github Project

Mixture-of-Linear-Experts for Long-term Time Series Forecasting

Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti

AISTATS 2024 | May 2024

Publication

Efficiently Computing Similarities to Private Datasets

Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski

ICLR 2024 | May 2024

Publication Project

Rescaling Intermediate Features Makes Trained Consistency Models Perform Better

Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko

ICLR (TinyPapers) 2024 | May 2024

Publication

Training Private and Efficient Language Models with Synthetic Data from LLMs

Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

NeurIPS 2023 SoLaR Workshop | December 2023

Publication Project

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

ICML 2023 | July 2023

Publication

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

NeurIPS 2023 | June 2023

Outstanding Paper Award

Publication Project

Selective Pre-training for Private Fine-tuning

Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

TMLR | May 2024

Publication Publication Project

Summary Statistic Privacy in Data Sharing

Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti

IEEE Journal on Selected Areas in Information Theory | March 2024

Publication Project