参考文献 [1]Zhou Y, Zheng X, Hsieh C J, et al. Defense against adversarial attacks in nlp via dirichlet neighborhood ensemble[J]. arXiv preprint arXiv:2006.11627, 2020. [2] Alzantot M, Sharma Y, Elgohary A, et al. Generating Natural Language Adversarial Examples[C]//Proceedings of th...
定义1(Feature Matching Distance) 两组图像之间的特征匹配距离定义为D(μ, ν),即两组经验分布μ和ν之间的OT距离。 特征散射:基于特征匹配,特征散射可以定义为: 这可以直观地解释为最大化原始和扰动经验分布之间的特征匹配距离,相对于受域约束 Sµ 的输入 定义2(Feature Scattering)给定一组干净的数据,可以将...
Owing to the vulnerabilities of DNN-based systems to adversarial attacks, there has been a recent surge in the design of defense mechanisms against such events. There are three major approaches to defense, i.e., adversarial training, defensive distillation, and the detection of adversarial examples...
More information:Bridging machine learning and cryptography in defence against adversarial attacks. arXiv:1809.01715v1 [cs.CR].arxiv.org/abs/1809.01715 Abstract In the last decade, deep learning algorithms have become very popular thanks to the achieved performance in many machine learning and computer...
Image Super-Resolution as a Defense Against Adversarial Attacks(A类TIP期刊2020) 1、摘要 卷积神经网络在多个计算机视觉任务中取得了显著的成功。然而,它们很容易受到精心制作、人类难以察觉的对抗噪声模式的影响。本文提出了一种计算效率高的图像增强方法——图像超分辨率,该方法提供了一种强大的防御机制,有效地减轻了...
Deep neural networks, particularly convolutional neural networks, are vulnerable to adversarial examples, undermining their reliability in visual recogniti... W Liu,W Zhang,K Yang,... - 《Neural Processing Letters》 被引量: 0发表: 2024年 Towards Defense Against Adversarial Attacks on Graph Neural ...
Immune defense against adversarial attacks via hourglass data-processing units and group RBF unitsDOI:10. 3772 / j. issn. 1002-0470. 2024. 09. 003 中文关键词: 免疫防御; 精度注入; 分组径向基函数(RBF); 权重衰减 英文关键词: immune defense, precision injection, group radial basis function (RBF...
Andriushchenko et al., Square Attack: a query-efficient black-box adversarial attack via random search, ECCV 2020.:https://arxiv.org/abs/1912.00049, [10] Chen et al., Stateful Detection of Black-Box Adversarial Attacks:https://arxiv.org/abs/1907.05587, ...
一旦能够计算出 ROA 攻击,就会应用标准的对抗训练方法进行防御。用ROA进行对抗训练的防御方法称之为分类器遮挡攻击防御 (Defense against Occlusion Attacks,DOA) 。 3. 实验和结果 评估DOA 的有效性,即使用ROA威胁模型的对抗性训练——对抗物理上可实现的攻击。 回想一下,只考虑相应物理攻击的数字表示。 因此,可以...
Recent advances in adversarial Deep Learning (DL) have opened up a new and largely unexplored surface for malicious attacks jeopardizing the integrity of autonomous DL systems. We introduce a novel automated countermeasure called Parallel Checkpointing Learners (PCL) to thwart the potential adversarial ...