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3d-adv-pc

Generating 3D Adversarial Point Clouds

3d-isometry-robust

adversarial-point-perturbations-on-3d-objects

New distributional and shape attacks on neural networks that process 3D point cloud data.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

bggan-tf2.0

TensorFlow 2.0 implementation of Large Scale Adversarial Representation Learning(BigBiGAN)

biggan-tensorflow

Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)

c3d-tensorflow

C3D is a modified version of BVLC tensorflow to support 3D ConvNets.

cifar-vgg

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

cnn-cert

Codes for reproducing the experimental results in "CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks", published at AAAI 2019

couplets_seq2seq_transformer

A transformer seq2seq model to generate couplets. 一个写对联的 Transformer 序列到序列模型。

cw_attack_on_mnist

Reproduction of cw attack on pytorch with corresponding MNIST model

deepg

Certifying Geometric Robustness of Neural Networks

deepgo

Reachability Analysis of Deep Neural Networks with Provable Guarantees

deepxplore

DeepXplore code release

dgcnn

eran

ETH Robustness Analyzer for Deep Neural Networks

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

geoda

This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.

i3d-tensorflow

Train I3D model on ucf101 or hmdb51 by tensorflow

i3d_finetune

TensorFlow code for finetuning I3D model on UCF101.

learn-python

literature-on-dnn-verification-and-testing

m-pact

A one stop shop for all of your activity recognition needs.

minimal-marl

Minimal implementation of multi-agent reinforcement learning algorithms

mister_ed

Pytorch Adversarial Attack Framework

mlds2018spring

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

neuralverification.jl

Methods to soundly verify deep neural networks

phys-gan

GAN with effective realistic behavior

pointnet2-keras

pointnet2 implemented using keras and tensorflow