Pinned Repositories
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)
couplets_seq2seq_transformer
A transformer seq2seq model to generate couplets. 一个写对联的 Transformer 序列到序列模型。
deepg
Certifying Geometric Robustness of Neural Networks
ReCePS
Reward Certification for Policy Smoothed Reinforcement Learning
Sparse-Adversarial-Video-Attack-SAVA
DeepSAVA
DeepSAVA: Sparse Adversarial Video Attacks with Spatial Transformations - BMVC 2021 & Neural Networks (2023)
mrh996's Repositories
mrh996/ReCePS
Reward Certification for Policy Smoothed Reinforcement Learning
mrh996/3d-adv-pc
Generating 3D Adversarial Point Clouds
mrh996/3d-isometry-robust
mrh996/Adversarial-point-perturbations-on-3D-objects
New distributional and shape attacks on neural networks that process 3D point cloud data.
mrh996/awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
mrh996/BGGAN-TF2.0
TensorFlow 2.0 implementation of Large Scale Adversarial Representation Learning(BigBiGAN)
mrh996/deepg
Certifying Geometric Robustness of Neural Networks
mrh996/Sparse-Adversarial-Video-Attack-SAVA
mrh996/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
mrh996/CW_Attack_on_MNIST
Reproduction of cw attack on pytorch with corresponding MNIST model
mrh996/DeepGO
Reachability Analysis of Deep Neural Networks with Provable Guarantees
mrh996/dgcnn
mrh996/eran
ETH Robustness Analyzer for Deep Neural Networks
mrh996/fast_adversarial
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
mrh996/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
mrh996/GeoDA
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
mrh996/graph_adversarial_attack
Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
mrh996/I3D-Tensorflow
Train I3D model on ucf101 or hmdb51 by tensorflow
mrh996/Literature-on-DNN-Verification-and-Testing
mrh996/minimal-marl
Minimal implementation of multi-agent reinforcement learning algorithms
mrh996/mister_ed
Pytorch Adversarial Attack Framework
mrh996/NeuralVerification.jl
Methods to soundly verify deep neural networks
mrh996/Phys-GAN
GAN with effective realistic behavior
mrh996/POPQORN
An Algorithm to Quantify Robustness of Recurrent Neural Networks
mrh996/ReColorAdv
ReColorAdv attack from "Functional Adversarial Attacks"
mrh996/rl-policies-attacks-defenses
Adversarial attacks on Deep Reinforcement Learning (RL)
mrh996/ronghui
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mrh996/Semantify-NN
Code for "Towards Verifying Robustness Of Neural Networks Against A Family Of Semantic Perturbations" (CVPR '20)
mrh996/train_list
mrh996/video_adv
Tensorflow code for Sparse Adversarial Perturbations for Videos