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 10 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
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
This repository contains the code for our ACM CCS'22 paper "StolenEncoder: Stealing Pre-Trained Encoders in Self-Supervised Learning"
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Jun 29, 2024 - 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
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