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Zhuohang Li

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PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models

Feb 17, 2024
Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley Malin, Sricharan Kumar

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Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?

Feb 14, 2024
Andrew Lowy, Zhuohang Li, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang

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Transferable Learned Image Compression-Resistant Adversarial Perturbations

Jan 06, 2024
Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen

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DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models

Jan 04, 2024
Wendi Cui, Jiaxin Zhang, Zhuohang Li, Lopez Damien, Kamalika Das, Bradley Malin, Sricharan Kumar

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SAC$^3$: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

Nov 03, 2023
Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Sricharan Kumar

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Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision

Oct 31, 2023
Jiaxin Zhang, Zhuohang Li, Kamalika Das, Sricharan Kumar

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Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics

Aug 21, 2023
Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A. Malin

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Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations

Jun 01, 2023
Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen

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RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense

Apr 11, 2023
Yue Cui, Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu

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Speech Privacy Leakage from Shared Gradients in Distributed Learning

Feb 21, 2023
Zhuohang Li, Jiaxin Zhang, Jian Liu

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