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xiaodanli001's Projects

advbox icon 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.

adversarial-attacks icon adversarial-attacks

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

beyond-part-models icon beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch

blackbox-bandits icon blackbox-bandits

Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"

boundary-attack icon boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

curls-whey icon curls-whey

The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch

daedalus-attack icon daedalus-attack

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

dag icon dag

Adversarial Examples for Semantic Segmentation and Object Detection

deepsec icon deepsec

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

delf-pytorch icon delf-pytorch

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

dgm_re-id icon dgm_re-id

Unsupervised Person Re-identification (ICCV 2017)

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