Simple pytorch implementation of FGSM and I-FGSM
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Mar 21, 2018 - Python
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machine-learning-security
Here are 13 public repositories matching this topic...
pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
nlp security apt transformers cybersecurity attention threat-hunting deeplearning cyber-security nlp-machine-learning bert threat-analysis security-automation threat-intelligence machine-learning-security cyber-threat-intelligence threat-detection transformer-encoder bert-embeddings deep-learning-security
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Apr 28, 2023 - Python
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
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Mar 25, 2023 - Python
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
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Nov 2, 2018 - Python
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
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Jun 22, 2025 - Python
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
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Jan 11, 2023 - Python
Datasets for training deep neural networks to defend software applications
react flask machine-learning django deep-neural-networks ai spring vue tensorflow rest-api keras react-redux open-data deeplearning keras-neural-networks network-security tensorflow-models machine-learning-security ai-security anti-nex
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Jun 4, 2018 - Python
Adversarial perturbation intensity strategy achieving chosen intra-technique transferability level for logistic regression
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Jan 6, 2018 - Python
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.
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Aug 4, 2021 - Python
This is the repository for Homeworks of COMP 530 Data Privacy and Security course given by Emre Gursoy at Koc University.
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Jan 21, 2023 - Python
Certified Adversarial Robustness via Randomized Smoothing on CIFAR10
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Jan 24, 2025 - Python
Production-grade demonstration of AI safety mechanisms: Out-of-Distribution detection and adversarial robustness testing for NLP models using DistilBERT, PyTorch, and TextAttack.
python nlp deep-learning transformers pytorch ai-safety adversarial-machine-learning adversarial-attacks machine-learning-security out-of-distribution-detection distilbert model-robustness ood-detection textattack trustworthy-ai
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Nov 20, 2025 - Python
Inspired by dynamic taint tracking, PoisonSpot uses fine-grained training provenance tracker that: (1) tags & traces the impact of every single training sample on model updates, (2) probabilistically scores suspect samples based on their linage of impact on model weights, and (3) separates the clean from the poisonous before retraining a model.
adversarial-machine-learning machine-learning-security backdoor-attacks poisoning-attack aisec deep-learning-security backdoor-defense provenance-tracking backdoor-detection poisoning-defenses training-provenance-tracking
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Oct 27, 2025 - Python
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