machine-learning-security

Here are 23 public repositories matching this topic...

RiccardoBiosas / awesome-MLSecOps

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

security machine-learning awesome cloud exploit prompt devsecops machine-learning-security mlops data-poisoning large-language-models llm prompt-engineering mlsecops

Updated Dec 19, 2024

1Konny / FGSM

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Simple pytorch implementation of FGSM and I-FGSM

adversarial-example adversarial-attacks machine-learning-security

Updated Mar 21, 2018
Python

jackaduma / SecBERT

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pretrained BERT model for cyber security text, learned CyberSecurity Knowledge

Updated Apr 28, 2023
Python

alexdevassy / Machine_Learning_CTF_Challenges

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CTF challenges designed and implemented in machine learning applications

machine-learning ai penetration-testing ctf offensive-security adversarial-machine-learning machine-learning-security large-language-models aisecurity vulnerable-llm-application

Updated Aug 29, 2024
HTML

whyisyoung / CADE

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Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

machine-learning tensorflow keras artificial-intelligence ids autoencoder mlp explanation concept-drift interpretability explainable-ai explainable-ml xai machine-learning-security drebin self-supervised-learning contrastive-learning ids2018

Updated Mar 25, 2023
Python

EzgiKorkmaz / adversarial-reinforcement-learning

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Reading list for adversarial perspective and robustness in deep reinforcement learning.

Updated Apr 10, 2025

JosephTLucas / HackThisAI

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Adversarial Machine Learning (AML) Capture the Flag (CTF)

data-science machine-learning artificial-intelligence cybersecurity infosec ctf adversarial-machine-learning machine-learning-security

Updated Mar 14, 2024
Jupyter Notebook

jay-johnson / train-ai-with-django-swagger-jwt

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Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

machine-learning jwt deep-neural-networks ai openshift tensorflow rest-api django-rest-framework swagger drf keras celery network-analysis network-security celery-tasks machine-learning-security ai-security anti-nex

Updated Nov 2, 2018
Python

wearetyomsmnv / AI-LLM-ML_security_study_map

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Do you want to learn AI Security but don't know where to start ? Take a look at this map.

map owasp machine-learning-security ai-security llm ml-security

Updated Apr 23, 2024

mmalekzadeh / honest-but-curious-nets

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Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)

machine-learning privacy deep-neural-networks entropy deep-learning information-theory pytorch data-privacy mutual-information adversarial-machine-learning celeba-dataset machine-learning-security utkface

Updated Jan 11, 2023
Python

citizenjosh / ai-security-training-lab

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Hands-on lessons for attacking and defending AI systems, starting with the OWASP Top 10 for LLM Applications.

docker owasp ethical-hacking adversarial-attacks machine-learning-security ai-security cybersecurity-education prompt-injection llm-security

Updated May 20, 2025
Python

jay-johnson / antinex-datasets

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Datasets for training deep neural networks to defend software applications

Updated Jun 4, 2018
Python

liu00222 / StolenEncoder

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This repository contains the code for our ACM CCS'22 paper "StolenEncoder: Stealing Pre-Trained Encoders in Self-Supervised Learning"

privacy machine-learning-security foundation-model

Updated Jan 22, 2025
Python

tugot17 / ML-In-Cybersecurity-Paper

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Summary of the presentation on Real and Stealthy Attacks on State-of-the-Art Face Recognition Systems at the Seminar: Machine Learning in Cyber-security at FU Berlin

paper machine-learning-security fu-berlin face-recognition-fraud

Updated Sep 15, 2019
TeX

Framartin / adversarial-logistic

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Adversarial perturbation intensity strategy achieving chosen intra-technique transferability level for logistic regression

machine-learning logistic-regression adversarial-example machine-learning-security

Updated Jan 6, 2018
Python

AmiraGuesmi-mls / Stochastic-Input-Transformation

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A stochastic input pre-processing technique based on a process of down-sampling/up-sampling using convolution and transposed convolution layers. Defending convolutional neural network against adversarial attacks.

adversarial-machine-learning adversarial-attacks machine-learning-security defense-methods

Updated Aug 4, 2021
Python

siva17680 / SYnex

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A high-security Linux OS for ethical hacking & penetration testing. Built on Kali & Parrot OS. Features AI intrusion detection, stealth VPN, custom kernel & more.