[论文解读] Concolic Testing for Deep Neural Networks
Concolic Testing for Deep Neural Networks 文章目录 Concolic Testing for Deep Neural Networks 简介 摘要 介绍 相关工作 DNNs的鲁棒性 Concolic测试 与相关工作对比 深度神经网络 DNNS的覆盖测试 激活模式 形式化测试覆盖标准 测试覆盖率指标 具体覆盖要求 Lipschitz连续性 神经元覆盖率 修改
相关文章
- 1. 论文阅读：Deep Neural Networks for Object Detection
- 2. [论文解读]Feature-Guided Black-Box Safety Testing of Deep Neural Networks
- 3. [论文解读]Towards Improved Testing For Deep Learning
- 4. Deep Neural Networks for Object Detection论文翻译
- 5. 【论文阅读】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
- 6. 论文阅读--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 7. 论文阅读：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
- 8. 论文阅读 Multi-Task Deep Neural Networks for Natural Language Understanding
- 9. 论文阅读《Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks》
- 10. 【论文阅读笔记】ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
- 更多相关文章...
- • C# 文本文件的读写 - C#教程
- • ARP报文格式详解 - TCP/IP教程
- • JDK13 GA发布：5大特性解读
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文阅读：Deep Neural Networks for Object Detection
- 2. [论文解读]Feature-Guided Black-Box Safety Testing of Deep Neural Networks
- 3. [论文解读]Towards Improved Testing For Deep Learning
- 4. Deep Neural Networks for Object Detection论文翻译
- 5. 【论文阅读】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
- 6. 论文阅读--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 7. 论文阅读：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
- 8. 论文阅读 Multi-Task Deep Neural Networks for Natural Language Understanding
- 9. 论文阅读《Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks》
- 10. 【论文阅读笔记】ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks