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1.野兽派 以大力出奇迹为主。主要利用1Billion数据+512TPU+100小时以上的训练方式得到5%以内的accuracy...
[5] Shafahi A, Najibi M, Ghiasi M A, et al. Adversarial training for free![J]. Advances in Neural Information Processing Systems, 2019, 32. 5. ZOO ZOO首次使用基于分数(score)的(例如类别概率)的对抗样本生成方法,是一种对分类模型信息未知的黑盒攻击方法。ZOO的核心思想是通过已知数据来训练新的...
[5] Shafahi A, Najibi M, Ghiasi M A, et al. Adversarial training for free![J]. Advances in Neural Information Processing Systems, 2019, 32. 5. ZOO ZOO首次使用基于分数(score)的(例如类别概率)的对抗样本生成方法,是一种对分类模型信息未知的黑盒攻击方法。ZOO的核心思想是通过已知数据来训练新的...
Score Based Methods (NeurIPS:2022) Images2Symbols (CogSci:2022) Medical Robotics Junior Faculty Forum (ISMR:2023) Beyond Vision: Physics meets AI (ICIAP:2023) Workshop on Diffusion Models (NeurIPS:2023) Lighthouse PageSpeed Insights Desktop ...
Score-based方法:(黑盒攻击) 一些攻击更不可知,仅依赖于预测分数(例如类别机率或对数)。 从概念上讲,这些攻击使用数值估算梯度的预测。该方法的开始真正work在于2017年PY Chen等人提出的ZOO方法《ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models》(...
Review: InstanceFCN — Instance-Sensitive Score Maps Deep Learning Optimization Learning Rate Scheduling Class Imbalance Learning from imbalanced data Learning from Imbalanced Classes Handling imbalanced datasets in machine learning [medium] How to handle Class Imbalance Problem [medium] Dealing with Imbalan...