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Huaming Chen

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Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning

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May 03, 2024
Yanli Li, Jehad Ibrahim, Huaming Chen, Dong Yuan, Kim-Kwang Raymond Choo

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Benchmarking Transferable Adversarial Attacks

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Feb 08, 2024
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen

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Large Language Models Based Fuzzing Techniques: A Survey

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Feb 07, 2024
Linghan Huang, Peizhou Zhao, Huaming Chen, Lei Ma

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FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells

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Feb 05, 2024
Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen

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GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model

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Jan 30, 2024
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan

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FairCompass: Operationalising Fairness in Machine Learning

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Dec 27, 2023
Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo

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MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks

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Dec 21, 2023
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

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Code Ownership in Open-Source AI Software Security

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Dec 18, 2023
Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen

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DANAA: Towards transferable attacks with double adversarial neuron attribution

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Oct 22, 2023
Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen

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Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

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Jul 16, 2023
Yuheng Huang, Jiayang Song, Zhijie Wang, Huaming Chen, Lei Ma

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