Deep neural networksFeature guideSegmentation? 2023 Elsevier B.V.Although deep neural networks (DNNs) demonstrated its superior performance in computer vision, recent works proved that the vulnerability of deep
[paper]Towards Evaluating the Robustness of Neural Networks(C&W),程序员大本营,技术文章内容聚合第一站。
【论文回顾】Towards Evaluating the Robustness of Neural Networks,程序员大本营,技术文章内容聚合第一站。
Nicholas Carlini, David Wagner, Towards Evaluating the Robustness of Neural Networks概提出了在不同范数下ℓ0,ℓ2,ℓ∞ℓ0,ℓ2,ℓ∞下生成adversarial samples的方法, 实验证明此类方法很有效.主要内容基本的概念本文主要针对多分类问题, 假设神经网络...
[论文笔记] Towards Evaluating the Robustness of Neural Networks 说在前面 个人心得: 文章有点冗长,实验很多,但是读来感觉不是很清晰 提出的攻击方法主要是基于优化 我觉得简单的数据集迁移性会比较明显,迁移性这个实验还是不够有说服力 2017 IEEE Symposium on Security and Privacy,原文链接:arxiv.org/abs...
【简读】The Sample Complexity of One-Hidden-Layer Neural Networkd 20220214 第148篇 arxiv.org/pdf/2202.06233.pdf作者:Gal Vardi, Ohad Shamir, Nathan Srebro Affiliations:Weizmann Institute of Science, Toyota Technology Institute of Chicago 本… Zehao...发表于ML Th... 神经网络简史(上)——从“极...
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approachby Tsui-Wei Weng*, Huan Zhang*, Pin-Yu Chen, Dong Su, Yupeng Gao, Jinfeng Yi, Cho-Jui Hsieh and Luca Daniel * Equal contribution News Aug 6, 2018: CLEVER evaluation with input transformations (e.g., staircase ...
Consequently, the robustness of neural networks against adversarial samples has received increasing attention. Thus, research of adversarial samples and the robustness of deep models have rapidly developed along with two main directions: (i) effective attack [7], [8], [9] and defense methods [10...
Robustness of color model changeImage classificationColor images are omnipresent in everyday life. In particular, they provide the only necessary input for deep neural network pipelines, which are continuously being employed for image classification......
The sensitivity analysis validated the stability of the results, ensuring the robustness of the methodology. Managerial and practical implications This study aims to achieve two main objectives, each carrying significant implications for DMs in the healthcare industry, particularly regarding the evaluation ...