随笔分类 - Robust Learning
摘要：Dong C., Liu L. and Shang J. Double descent in adversarial training: an implicit label noise perspective. In International Conference on Learning Repr
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摘要：Dong Y., Xu K., Yang X. Pang T., Deng Z. Su H. and Zhu J. Exploring memorization in adversarial training. In International Conference on Learning Repr
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摘要：Feldman V. and Zhang C. What neural networks memorize and why: discovering the long tail via influence estimation. In Advances in Neural Information P
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摘要：Feldman V. Does learning require memorization? a short tale about a long tail. In Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Com
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摘要：Xu H., Liu X., Wang W., Jain A. K. Tang J., Ding W., Wu Z. and Liu Z. Towards the memorization effect of neural networks in adversarial training. In I
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DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
摘要：Ni S., Li J. and Kao H. DropAttack: a masked weight adversarial training method to improve generalization of neural networks. In International Confere
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摘要：Hendrycks D., Basart S., Mu N., Kadavath S., Wang F., Dorundo E., Desai R., Zhu T., Parajuli S., Guo M., Song D., Steinhardt J. Gilmer J. The many fac
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摘要：Chen E. and Lee C. LTD: Low temperature distillation for robust adversarial training. arXiv preprint arXiv:2111.02331, 2021. 概 本文利用distillation来提高网络鲁棒
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摘要：Croce F. and Hein M. Mind the box: -APGD for sparse adversarial attacks on image classifiers. In International Conference on Machine Learnin
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摘要：Huang H., Wang Y., Erfani S., Gu Q., Bailey J. and Ma X. Exploring architectural ingredients of adversarially robust deep neural networks. In Advances
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摘要：Rade R. and Moosavi-Dezfooli S. Helper-based adversarial training: reducing excessive margin to achieve a better accuracy vs. robustness trade-off. In
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摘要：Zhang J., Xu X., Han B., Niu G., Cui L., Sugiyama M., Kankanhalli M. Attacks which do not kill training make adversarial learning stronger. In Interna
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摘要：Andriushchenko M. and Flammarion N. Understanding and improving fast adversarial training. In Advances in Neural Information Processing Systems (NIPS)
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摘要：Kernel Density (KD) Feinman R., Curtin R. R., Shintre S. and Gardner A. B. Detecting Adversarial Samples from Artifacts. arXiv preprint arXiv:1703.004
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摘要：Pang T., Zhang H., He D., Dong Y., Su H., Chen W., Zhu J., Liu T. Adversarial training with rectified rejection. arXiv Preprint, arXiv: 2105.14785, 20
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摘要：Leino K., Wang Z. and Fredrikson M. Globally-robust neural networks. In International Conference on Machine Learning (ICML), 2021. 概 本文是一种可验证的鲁棒方法, 并且
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摘要：Bai Y., Zeng Y., Jiang Y., Xia S., Ma X., Wang Y. Improving adversarial robustness via channel-wise activation suppressing. In International Conferenc
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摘要：Foret P., Kleiner A., Mobahi H., Neyshabur B. Sharpness-aware minimization for efficiently improving generalization. In International Conference on Le
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摘要：Heuristics-driven Pad and Crop He K., Zhang X., Ren S. and Sun J. Deep residual learning for image recognition. In IEEE Conference on Computer Vision
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摘要：Sehwag V., Mahloujifar S., Handina T., Dai S., Xiang C., Chiang M. and Mittal P. Improving adversarial robustness using proxy Distributions. arXiv pre
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