mi-fgsm

Here are 7 public repositories matching this topic...

thu-ml / ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

nes pca bim benchmark-framework evolutionary spsa boundary adversarial-machine-learning distillation fgsm adversarial-attacks deepfool adversarial-robustness mi-fgsm mmlda hgd

Updated Oct 15, 2023
Python

as791 / Adversarial-Example-Attack-and-Defense

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This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

attack temperature defense adversarial-examples distillation fgsm adversarial-attacks pytorch-implementation adversarial-defense mi-fgsm

Updated Dec 17, 2020
Jupyter Notebook

Jeffkang-94 / pytorch-adversarial-attack

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Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)

pgd pytorch fgsm adversarial-attacks mi-fgsm madrylab-challenge

Updated Jul 8, 2021
Python

Rubinjo / adversarial-nn

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resize attack cnn defence padding fgsm i-fgsm mi-fgsm spatial-smoothing

Updated Feb 2, 2022
Jupyter Notebook

krassiaa / adversarial_pipeline

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Master's thesis: Real-time adversarial attacks (FGSM, PGD, MI-FGSM, NI-FGSM) on face recognition systems. Pipeline adaptation for video streams with batch optimization (33.6 FPS, 99.75% ASR). Apple M1 Pro.

real-time computer-vision pytorch face-recognition adversarial-attacks mi-fgsm fgsm-attack ni-fgsm

Updated Jul 24, 2026

Tinku-Chauhan / Adversarial_Shield

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Face privacy protection using adversarial perturbations. MI-FGSM attack on FaceNet embeddings achieves cosine similarity < 0.5 with PSNR > 40 dB. 5/5 surrogate model transfer. Flask web UI.

flask privacy computer-vision deep-learning pytorch face-recognition facenet mtcnn adversarial-machine-learning adversarial-examples fgsm mi-fgsm image-perturbation biometric-privacy identity-cloaking

Updated May 27, 2026
HTML

Wahid234 / Adversarial-Attack-on-CIFAR-10

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This project demonstrates adversarial attacks on deep neural networks trained on the CIFAR-10 dataset

mi-fgsm fgsm-attack ifgsm

Updated Feb 2, 2025
Jupyter Notebook

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