A library for performing coverage guided fuzzing of neural networks

Overview

TensorFuzz: Coverage Guided Fuzzing for Neural Networks

This repository contains a library for performing coverage guided fuzzing of neural networks, as was described in this paper. It's still a prototype, but the ultimate goal is for people to actually use this to test real software. Any suggestions about how to make it more useful for that purpose would be appreciated.

Installation

You ought to be able to run the code in this repository by doing the following:

pip install -r requirements.txt

Then do:

export PYTHONPATH="$PYTHONPATH:$HOME/tensorfuzz"

The structure of this repository

Broadly speaking, this repository contains a core fuzzing library, examples of how to use the fuzzer, a list of bugs found with the fuzzer, and some utilities.

/bugs

This directory contains bugs or weird behaviors that we've found by using this tool.

/examples

This directory contains examples of how to use the fuzzer in several different ways. It contains examples of looking for numerical errors, finding broken loss functions in publicly available code, and checking for disagreements between trained classifiers and their quantized versions.

/lib

This directoy contains the fuzzing engine and all the necessary utils.

/third_party

This directory contains code written by other people and the (potentially updated) LICENSES for that code.

Disclaimers

This is not an officially supported Google product.

Owner
Brain Research
Brain Research
The Deep Learning with Julia book, using Flux.jl.

Deep Learning with Julia DL with Julia is a book about how to do various deep learning tasks using the Julia programming language and specifically the

Logan Kilpatrick 67 Dec 25, 2022
Repository for the Bias Benchmark for QA dataset.

BBQ Repository for the Bias Benchmark for QA dataset. Authors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Tho

ML² AT CILVR 18 Nov 18, 2022
A library for graph deep learning research

Documentation | Paper [JMLR] | Tutorials | Benchmarks | Examples DIG: Dive into Graphs is a turnkey library for graph deep learning research. Why DIG?

DIVE Lab, Texas A&M University 1.3k Jan 01, 2023
Code for the paper "Improved Techniques for Training GANs"

Status: Archive (code is provided as-is, no updates expected) improved-gan code for the paper "Improved Techniques for Training GANs" MNIST, SVHN, CIF

OpenAI 2.2k Jan 01, 2023
Implementation for "Seamless Manga Inpainting with Semantics Awareness" (SIGGRAPH 2021 issue)

Seamless Manga Inpainting with Semantics Awareness [SIGGRAPH 2021](To appear) | Project Website | BibTex Introduction: Manga inpainting fills up the d

101 Jan 01, 2023
Classifying cat and dog images using Kaggle dataset

PyTorch Image Classification Classifies an image as containing either a dog or a cat (using Kaggle's public dataset), but could easily be extended to

Robert Coleman 74 Nov 22, 2022
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

IIM - Crowd Localization This repo is the official implementation of paper: Learning Independent Instance Maps for Crowd Localization. The code is dev

tao han 91 Nov 10, 2022
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

Deep Networks from the Principle of Rate Reduction This repository is the official NumPy implementation of the paper Deep Networks from the Principle

Ryan Chan 49 Dec 16, 2022
code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022 News (03/16/2022) upload retrieval checkpoints finetuned on COCO and Flickr T

187 Jan 02, 2023
Exploration-Exploitation Dilemma Solving Methods

Exploration-Exploitation Dilemma Solving Methods Medium article for this repo - HERE In ths repo I implemented two techniques for tackling mentioned t

Aman Mishra 6 Jan 25, 2022
Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

Surface Reconstruction from Point Clouds by Learning Predictive Context Priors (CVPR 2022) Personal Web Pages | Paper | Project Page This repository c

136 Dec 12, 2022
Аналитика доходности инвестиционного портфеля в Тинькофф брокере

Аналитика доходности инвестиционного портфеля Тиньков Видео на YouTube Для работы скрипта нужно установить три переменных окружения: export TINKOFF_TO

Alexey Goloburdin 64 Dec 17, 2022
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer

CSAW-M This repository contains code for CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. Source code for tr

Yue Liu 7 Oct 11, 2022
This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf).

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer This repo is the official implementation for TransBTS: Multimodal Brain Tumor Segmenta

Raymond 247 Dec 28, 2022
CausaLM: Causal Model Explanation Through Counterfactual Language Models

CausaLM: Causal Model Explanation Through Counterfactual Language Models Authors: Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart Abstract: Understan

Amir Feder 39 Jul 10, 2022
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)

FaceVerse FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset Lizhen Wang, Zhiyuan Chen, Tao Yu, Chenguang

Lizhen Wang 219 Dec 28, 2022
Image Segmentation and Object Detection in Pytorch

Image Segmentation and Object Detection in Pytorch Pytorch-Segmentation-Detection is a library for image segmentation and object detection with report

Daniil Pakhomov 732 Dec 10, 2022
PyTorch implementation for paper "Full-Body Visual Self-Modeling of Robot Morphologies".

Full-Body Visual Self-Modeling of Robot Morphologies Boyuan Chen, Robert Kwiatkowskig, Carl Vondrick, Hod Lipson Columbia University Project Website |

Boyuan Chen 32 Jan 02, 2023
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features

Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features | paper | Official PyTorch implementation for Mul

48 Dec 28, 2022
A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN

A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN Please follow Faster R-CNN and DAF to complete the environment confi

2 Jan 12, 2022