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NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers


Nov 29, 2022
Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

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HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance


Nov 23, 2021
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen

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NViT: Vision Transformer Compression and Parameter Redistribution


Oct 10, 2021
Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz

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Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?


Mar 17, 2021
Nathan Inkawhich, Kevin J Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen

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BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization


Feb 20, 2021
Huanrui Yang, Lin Duan, Yiran Chen, Hai Li

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* Published as a conference paper at ICLR 2021 

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Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective


Dec 08, 2020
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen

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DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles


Oct 18, 2020
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li

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* To be appeared in NeurIPS 2020 conference (Oral) 

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TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations


Jun 12, 2020
Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang

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