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.

Advbox Family support Python 3.*.

Our Work

Tracking the Criminal of Fake News Based on a Unified Embedding. Blackhat Asia 2020
Attacking and Defending Machine Learning Applications of Public Cloud. Blackhat Asia 2020
ABSTRACT:Cloud-based Image Classification Service Is Not Robust To Affine Transformation : A Forgotten Battlefield. CCSW 2019: The ACM Cloud Computing Security Workshop of CCS 2019
TRANSFERABILITY OF ADVERSARIAL EXAMPLES TO ATTACK REAL WORLD PORN IMAGES DETECTION SERVICE.HITB CyberWeek 2019
COMMSEC: Tracking Fake News Based On Deep Learning. HITB GSEC 2019
COMMSEC: Hacking Object Detectors Is Just Like Training Neural Networks. HITB GSEC 2019 | See code
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.

Homepage of AdvSDK

AdversarialBox

Adversarialbox 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. It is inspired and based on FoolBox v1.

Homepage of AdversarialBox

AdvDetect

AdvDetect is a toolbox to detect adversarial examples from massive data.

Homepage of AdvDetect

AdvPoison

Data poisoning

AI applications

Face Recognition Attack

Homepage of Face Recognition 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.

Homepage of Stealth T-shirt

Fake Face Detect

The restful API is used to detect whether the face in the picture/video is a false face.

Homepage of Fake Face Detect

Paper and ppt of Advbox Family

How to cite

If you use AdvBox in an academic publication, please cite as:

@misc{goodman2020advbox,
    title={Advbox: a toolbox to generate adversarial examples that fool neural networks},
    author={Dou Goodman and Hao Xin and Wang Yang and Wu Yuesheng and Xiong Junfeng and Zhang Huan},
    year={2020},
    eprint={2001.05574},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

Cloud-based Image Classification Service is Not Robust to Affine Transformation: A Forgotten Battlefield

@inproceedings{goodman2019cloud,
  title={Cloud-based Image Classification Service is Not Robust to Affine Transformation: A Forgotten Battlefield},
  author={Goodman, Dou and Hao, Xin and Wang, Yang and Tang, Jiawei and Jia, Yunhan and Wei, Tao and others},
  booktitle={Proceedings of the 2019 ACM SIGSAC Conference on Cloud Computing Security Workshop},
  pages={43--43},
  year={2019},
  organization={ACM}
}

Who use/cite AdvBox

Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang; A Tour of Convolutional Networks Guided by Linear Interpreters; The IEEE International Conference on Computer Vision (ICCV), 2019, pp. 4753-4762
Ling, Xiang and Ji, Shouling and Zou, Jiaxu and Wang, Jiannan and Wu, Chunming and Li, Bo and Wang, Ting; Deepsec: A uniform platform for security analysis of deep learning model ; IEEE S&P, 2019
Deng, Ting and Zeng, Zhigang; Generate adversarial examples by spatially perturbing on the meaningful area; Pattern Recognition Letters[J], 2019, pp. 632-638

Issues report

https://github.com/baidu/AdvBox/issues

License

AdvBox support Apache License 2.0

bholdmanny/AdvBox