217 Open source projects that are alternatives of or similar to perceptual-advex

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Unofficial TensorFlow implementation of "AlexNet" architecture.

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

Selective Classification For Deep Neural Networks.

Training Low-bits DNNs with Stochastic Quantization

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

A collection of SOTA Image Classification Models in PyTorch

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Adversarial Attacks on Deep Neural Networks for Time Series Classification

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Reachability analysis for closed-loop control systems

Compare neural networks by their feature similarity

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

PyTorch implementation of EfficientNetV2 family

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Autoencoder trained on ImageNet Using Torch 7

Pytorch code to generate adversarial examples on mnist and ImageNet data.

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Natural Language Attacks in a Hard Label Black Box Setting.

A Closer Look at Accuracy vs. Robustness

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

ImageNet model implemented using the Keras Functional API

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Easily train or fine-tune SOTA computer vision models with one open source training library

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

This is a collection of algorithms and approaches used in the book adversarial deep learning

Attacking Optical Flow (ICCV 2019)

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Bottleneck Transformers for Visual Recognition

TensorFlow ImageNet - Training and SOTA checkpoints

No description or website provided.

Etiketai is an online tool designed to label images, useful for training AI models

Scripts to work with LMDB + PyTorch for Imagenet training

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Code used during my Chaos Engineering and Resiliency Patterns talk.

73.6% GhostNet 1.0x pre-trained model on ImageNet

Reimplementing cool papers in PyTorch...