Popular GitHub Repositories for Food Poisoning

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

? A practical and imaginary food delivery microservices, built with .Net 8, MassTransit, Domain-Driven Design, CQRS, Vertical Slice Architecture, Event-Driven Architecture, and the latest technologies.

Food Classification with Deep Learning in Keras / Tensorflow

food image to recipe with deep convolutional neural networks.

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

A curated list of trustworthy deep learning papers. Daily updating...

A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.

This is a tracking repo for all our AI projects. ? ??

Food/Diet Recommendation system using machine learning

A Python library for Secure and Explainable Machine Learning

A curated list of academic events on AI Security & Privacy

A CoreML model which classifies images of food

?? Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

Deep Learning model to classify food (Web App)

[NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"