Publications

Haochen Sun, Jason Li, Hongyang Zhang
October, 2024 ACM Conference on Computer and Communications Security, CCS 2024, 14-18 October 2024, Salt Lake City, Utah, USA
zkLLM: Zero Knowledge Proofs for Large Language Models

The recent surge in artificial intelligence (AI), characterized by the prominence of large language models (LLMs), has ushered in fundamental transformations across the globe. However, alongside these advancements, concerns surrounding the legitimacy of LLMs have grown, posing legal challenges to their extensive applications.
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Haochen Sun, Tonghe Bai, Jason Li, Hongyang Zhang
December, 2023 CoRR
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training
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Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen
July, 2023 International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA
Identification of the Adversary from a Single Adversarial Example
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Haochen Sun, Jimmy C. H. Fung, Yiang Chen, Zhenning Li, Dehao Yuan, Wanying Chen, Xingcheng Lu
November, 2022 Geoscientific Model Development
Development of an LSTM broadcasting deep-learning framework for regional air pollution forecast improvement
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Haochen Sun, Jimmy C. H. Fung, Yiang Chen, Wanying Chen, Zhenning Li, Yeqi Huang, Changqing Lin, Mingyun Hu, Xingcheng Lu
September, 2021 Sustainable Cities and Society
Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques
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