#
adversarial
Here are 66 public repositories matching this topic...
《深度学习与计算机视觉》配套代码
caffe
computer-vision
deep-learning
mxnet
book
example
detection
regression
pytorch
gan
classification
segmentation
generative
unet
adversarial
beginners
siamese
u-net
model-fusion
-
Updated
Nov 30, 2020 - Python
An information security preparedness tool to do adversarial simulation.
python
redis
yaml
security
vagrant
networking
uber
virtualbox
simulation
network
celery
infosec
adversarial
-
Updated
Apr 1, 2019 - Python
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
deep-learning
optical-flow
unsupervised-learning
adversarial
camera-pose
depth-prediction
motion-segmentation
adversarial-collaboration
-
Updated
Aug 16, 2019 - Python
Stochastic Adversarial Video Prediction
generative-adversarial-network
gan
stochastic
vae
adversarial
vae-gan
variational-autoencoder
video-generation
video-prediction
-
Updated
Oct 8, 2019 - Python
Crafting adversarial images
-
Updated
Jan 3, 2019 - Python
Adversarial Training for Natural Language Understanding
-
Updated
Sep 20, 2020 - Python
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
security
machine-learning
research
pytorch
adversarial
backdoors
adversarial-machine-learning
federated-learning
backdoor-attacks
neural-trojan
deep-learning-security
ml-backdoors
deep-learning-backdoors
-
Updated
Jun 23, 2022 - Python
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
attack
classification
robust
adversarial
robustness
adversarial-learning
attack-defense
adversarial-machine-learning
adversarial-example
adversarial-examples
adversarial-attacks
-
Updated
Jun 8, 2019 - Python
Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).
-
Updated
Jun 14, 2020 - Python
fpga
csharp
pytorch
ros
transformer
yolo
pruning
object-detection
adversarial
tensorrt
mobilenet
snn
ncnn
onnx
openvino
small-object-detection
yolov5
yolox
yolov6
yolov7
-
Updated
Jul 9, 2022
A PyTorch implementation of adversarial pose estimation for multi-person
-
Updated
Jan 24, 2018 - Python
Code and pretrained models for paper: Data-Free Adversarial Distillation
-
Updated
Apr 6, 2021 - Python
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/
-
Updated
Oct 3, 2021 - Python
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
-
Updated
Oct 14, 2017 - Lua
A checkers reinforcement learning AI, and all the tools needed to train it.
game
board-game
machine-learning
reinforcement-learning
ai
checker
q-learning
transition
artificial-intelligence
piece
dynamic-programming
opponent
bandit-learning
alpha-beta-pruning
adversarial
checkers
draughts
king
adversarial-learning
game-board
checkers-reinforcement-learning
board-configuration
-
Updated
May 30, 2020 - Python
RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
-
Updated
Nov 5, 2020 - Python
Adversarial Discriminative Domain Adaptation in Chainer
-
Updated
Nov 20, 2017 - Python
Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019
-
Updated
Jan 11, 2020 - Python
Tensorflow implementation of Fast Geometrically-Perturbed Adversarial Faces
-
Updated
Jan 6, 2022 - Python
It turns out that adversarial and clean data are not twins, not at all.
-
Updated
Apr 19, 2017 - Python
Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.
-
Updated
May 15, 2020 - Python
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention
-
Updated
Apr 1, 2021 - Python
Create adversarial images to fool a MNIST classifier in TensorFlow
-
Updated
Jun 8, 2017 - Jupyter Notebook
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
hashing
generative-adversarial-network
gan
adversarial
person-reidentification
person-re-identification
binary-code
-
Updated
Apr 24, 2018 - Python
The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
deep-learning
adversarial
adversarial-machine-learning
adversarial-attacks
bit-flipping
bit-flip-attack
-
Updated
Jul 20, 2021 - Python
Implementation of GAIL and AIRL using chinerrl
reinforcement-learning
generative
adversarial
imitation-learning
inverse-reinforcement-learning
irl
gail
airl
-
Updated
Jun 21, 2022 - Python
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
-
Updated
Jul 28, 2020 - Jupyter Notebook
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)
-
Updated
Jun 10, 2020 - Python
CVPR 2019 Paper——Feature Space Perturbations Yield More Transferable Adversarial Examples re-implementation.
-
Updated
Dec 29, 2021 - Python
Improve this page
Add a description, image, and links to the adversarial topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the adversarial topic, visit your repo's landing page and select "manage topics."
Is there a way to stabilise the results of the algorithm spot the diff drift detection?
In each run with same configuration and data the results of diff and p values are different.