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Jingfeng Zhang's repositories

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

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the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

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The code for NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels (TMLR 22 accept)

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Towards Robust ResNet: A Small Step but a Giant Leap (IJCAI 2019)

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Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix

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Poisoning attack methods against adversarial training algorithms

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Jingfeng Zhang's personal website

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Models and examples built with TensorFlow

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Computation using data flow graphs for scalable machine learning

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Demonstration of Transfer Learning on CIFAR10 dataset.

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