279 Open source projects that are alternatives of or similar to procedural-advml

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

minimum proof of concept about procedural noise generation in SparkAR's shader language (SparkSL).

Paper list of Adversarial Examples

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

A Closer Look at Accuracy vs. Robustness

A curated list of awesome resources regarding machine learning reliability.

Animated perlin noise textures

Scaleable input gradient regularization

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-…

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

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

Adversarial Ranking Attack and Defense, ECCV, 2020.

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Adversarial Attacks on Deep Neural Networks for Time Series Classification

UE4 plugin: Noise Blueprint Function Library

Adds various noise generation nodes to Unity Shader Graph, including 3D noise nodes.

💬 A list of End-to-End speech recognition, including papers, codes and other materials

Randomized Smoothing of All Shapes and Sizes (ICML 2020).

PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub.

Compute interstation correlations of seismic ambient noise, including fast implementations of the standard, 1-bit and phase cross-correlations.

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

Perlin noise generator in Go

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Compilation of the state of the art of tools, articles, forums and links of interest to generate and detect any type of synthetic content using deep learning.

An attempt to improve user privacy by intelligent data obfuscation.

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

Documentation, references, and collected academic research for the cuteOS Kernel.

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

The relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.

Interactive Music Visualizer

Paper notes in deep learning/machine learning and computer vision

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

Natural Language Attacks in a Hard Label Black Box Setting.

Resources for Covid-19

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

Summary of object detection（modules&&improvements）

reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch

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

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

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

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Attacking Optical Flow (ICCV 2019)

where where where paper

No description or website provided.

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

A Julia package for adding different kinds of noise to signals like time series or images.

Collection of diverse recommendation papers

Add gradient noise to any Keras optimizer

Various modules for VCV Rack

Deep learning for freehand sketch object recognition

personal repository

Twitter bot that tweets randomly selected papers from Papers We Love.

Discussions on papers, frameworks, blogs and ideas every Saturday.

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Commented templates for CVs, homework, lecture notes, presentations, research papers, and essays, with commands for math/statistics symbols

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

I store all the code I used in my YouTube tutorial here. Feel free to download and play around them😉

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