Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
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Nov 8, 2020 - Python
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white-box-attacks
Here are 13 public repositories matching this topic...
Real-time White-Box attacks against Object Detection.
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May 24, 2024 - Python
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
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Sep 4, 2024 - Jupyter Notebook
PyTorch implementation of ReACG, accepted at ICPRAI 2024.
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Jan 8, 2026 - Python
A classical or convolutional neural network model with adversarial defense protection
ai ml convolutional-neural-network adversarial-examples mnist-handwriting-recognition adversarial-attacks adversarial-training white-box-attacks carlini-wagner-attack emnist-digits fgsm-attack pgd-attack
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Sep 4, 2024 - Jupyter Notebook
Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.
imagenet adversarial-attacks black-box-attacks white-box-attacks targeted-adversarial-attacks non-targeted-adversarial-attacks
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Feb 13, 2020 - Python
BERT based deep neural network for aspect-based sentiment analysis.
nlp deep-learning bert adversarial-machine-learning aspect-based-sentiment-analysis black-box-attacks white-box-attacks
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Dec 23, 2020 - Python
Fast Gradient Sign Adversarial Attack(FGSM) examples creation using FashionMnist dataset
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Apr 23, 2023 - Jupyter Notebook
Study of four first order Frank Wolfe algorithms to solve constrained non-convex problems in the context of white box adversarial attacks.
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Jun 16, 2022 - Jupyter Notebook
A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.
mnist-dataset quantum-classical adversarial-attacks white-box-attacks hybrid-neural-network quantinuum targetted-attacks compounded-adversarial-attack pytket torchattacks pytket-qiskit
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Sep 4, 2024 - Jupyter Notebook
Official implementation of "Appropriate Balance of Diversification and Intensification Improves Performance and Efficiency of Adversarial Attacks", Transactions on Machine Learning Research (TMLR).
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May 20, 2024 - Python
CAP6938-Fall2025: FGSM white-box adversarial attacks on ResNet-18 and ViT for MNIST and CIFAR-10. UCF Trustworthy ML, Assignment 1.
pytorch mnist resnet cifar10 adversarial-examples fgsm adversarial-robustness white-box-attacks trustworthy-machine-learning vision-transformer cap6938
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Apr 30, 2026 - Python
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
mnist-dataset quantum-classical adversarial-attacks adversarial-training random-rotation classification-models emnist-dataset white-box-attacks hybrid-neural-network targetted-attacks randomization-defense random-resizing random-cropping combined-randomization compounded-attacks
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Sep 4, 2024 - Jupyter Notebook
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