AdvBox
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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 mo...
Bumps [numpy](https://github.com/numpy/numpy) from 1.14.5 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.10.1 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.10.1 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
使用MIFGSM时出现： assert self.model.channel_axis() == adversary.original.ndim AssertionError 问题在哪里？ 其他的方法却没有问题
TensorFlow 版本的 GraphPipe Docker Image，目前只有 TensorFlow Ver1.8 和 1.11 版本。[见](https://hub.docker.com/r/sleepsonthefloor/graphpipe-tf/tags) 在尝试部署更高版本 TensorFlow 生成的模型时会出现各种异常，因此间接影响了 AdvBox 的使用。 对此是否有解决方法，或者项目是否有计划应用在常规部署框架上？
Bumps [pillow](https://github.com/python-pillow/Pillow) from 5.2.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.6.1 to 3.15.0. Release notes Sourced from protobuf's releases. Protocol Buffers v3.15.0 Protocol Compiler Optional fields for proto3 are enabled by default, and no longer require the...
bugs
``` File "facenet_fr.py", line 199, in fr = FacenetFR() File "facenet_fr.py", line 90, in __init__ facenet.load_model(FACENET_MODEL_CHECKPOINT) AttributeError: module 'facenet' has no attribute 'load_model' ```
I found `requirements.txt` and `requirements-gpu.txt` out of date, which some packages cant download, and not support Python 3.8. I change some lines, do like this: ``` conda create -n advbox...
Due to the implementation of Deepfool and C&W is for classifier which just have a 1xK dimension predict vector，but for segmentation model，the predict is a mask whose dimension is HxWxK.
