Advbox Family
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.
Our Work
- 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
AdvSDK
A Lightweight Adv SDK For PaddlePaddle to generate adversarial examples.
AdvBox
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
AdvDetect is a toolbox to detect adversarial examples from massive data.
AdvPoison
Data poisoning
AI applications
Face Recogniztion Attack
Homepage of Face Recogniztion Attack
Stealth T-shirt
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.
Fake Face Detect
The restful API is used to detect whether the face in the picture/video is a false face.
Paper and ppt of Advbox Family
Issues report
https://github.com/baidu/AdvBox/issues
License
AdvBox support Apache License 2.0
Authors
- Baidu xlab
How to Cite
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}
}
