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WEN Hao ed3a4603d0 | 7 months ago | |
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.. | ||
Datasets | 1 year ago | |
EvalBox | 7 months ago | |
Models | 7 months ago | |
configs | 7 months ago | |
test | 7 months ago | |
utils | 7 months ago | |
.gitignore | 7 months ago | |
Dockerfile | 1 year ago | |
README.md | 1 year ago | |
TestingAudio.py | 7 months ago | |
no-test.Dockerfile | 1 year ago | |
requirements-apt.txt | 9 months ago | |
requirements-no-torch.txt | 9 months ago | |
requirements.txt | 9 months ago |
克隆本项目并安装依赖:
git clone https://github.com/ydc123/AI-Testing.git
cd AI-Testing/audio
pip install requirements.txt
或者从启智社区上克隆本项目
git clone https://openi.pcl.ac.cn/Numbda/AI-Testing.git
cd AI-Testing/audio
pip install requirements.txt
本开源项目的audio/Datasets/
中提供了一小部分LibriSpeech数据集。用户可使用上述数据集,或添加其他wav格式音频数据,进行数据集扩展。
使用cd audio/test
进入test目录。重明开源项目提供了一个示例的算法文件test.py。可以测试在多种攻击算法下,Deep Speech模型的鲁棒性结果:
python test.py
上述命令将测试Deep Speech模型,在FGSM、PGD、CW、遗传算法以及Imperceptible CW算法攻击下,模型预测的结果。
本项目为AI-Testing开源项目的算法内核,是一个用于 计算机视觉、文本自然语言处理、音频处理 等多个领域的对抗攻击全流程评测算法学习研究的 Python库。
https://numbda.cs.tsinghua.edu.cn/AI-Testing/
Python Pickle Text Dockerfile Jupyter Notebook other
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