Advbox Family is a series of AI model security tools set of Baidu Open Source,including the generation, detection and protection of adversarial examples, as well as attack and defense cases for different AI applications.
- COMMSEC: Tracking Fake News Based On Deep Learning. HITB GSEC 2019
- COMMSEC: Hacking Object Detectors Is Just Like Training Neural Networks. HITB GSEC 2019
- COMMSEC: How to Detect Fake Faces (Manipulated Images) Using CNNs. HITB GSEC 2019
- Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service. Defcon China 2019
- Face Swapping Video Detection with CNN. Defcon China 2019
A Lightweight Adv SDK For PaddlePaddle to generate adversarial examples.
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.Advbox give a command line tool to generate adversarial examples with Zero-Coding.
AdvDetect is a toolbox to detect adversarial examples from massive data.
Data poisoning
Homepage of Face Recogniztion Attack
On defcon, we demonstrated T-shirts that can disappear under smart cameras. Under this sub-project, we open-source the programs and deployment methods of smart cameras for demonstration.
The restful API is used to detect whether the face in the picture/video is a false face.
https://github.com/baidu/AdvBox/issues
AdvBox support Apache License 2.0
- Baidu xlab
If you instead use AdvBox in an academic publication, cite as:
@misc{advbox,
author= {Baidu X-lab},
title = {Advbox:a toolbox to generate adversarial examples that fool neural networks},
month = mar,
year = 2019,
url = {https://github.com/baidu/AdvBox}
}