Pytorch-Named-Entity-Recognition-with-transformers

crf transformers pgd pytorch span ner albert bert softmax fgm electra xlm roberta adversarial-training distilbert camembert xlmroberta

• Updated Jun 1, 2020
• Python

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

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

• Updated Jul 8, 2021
• Python

A Parallel Graphlet Decomposition Library for Large Graphs

graph graph-algorithms parallel graphlet-decomposition-algorithms subgraph-count motif-counts motif graphlet-frequency-distribution graphlet-counts pgd edges gfd triangle-counting graph-kernels graph-feature

• Updated Mar 21, 2019
• C++

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

pgd pytorch adversarial fgsm adversarial-attacks adversarial-training

• Updated May 15, 2020
• Python

Reproduce multiple adversarial attack methods

pgd python3 pytorch cw adversarial-examples fgsm adversarial-attacks deepfool

• Updated May 5, 2020
• Python

Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.

pgd bim paddle paddlepaddle fgsm

• Updated Nov 13, 2021
• Python

Structural Wing Model Reduction in Fluid-Structure Interactions

pgd pod rom fsi aeroelasticity mdo

• Updated Jul 5, 2019
• HTML

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

machine-learning pgd classification robust ensemble resnet adversarial vgg19 cifar10 adversarial-machine-learning adversarial-attacks deepfool borda-count robust-machine-learning benign robust-estimation robust-statistics regroup robust-predictions

• Updated Nov 25, 2021
• Jupyter Notebook

some adversarial attacks implemented on different ml models to see their effect.

pgd adversarial-machine-learning fgsm adversarial-attacks

• Updated Jul 23, 2024
• Jupyter Notebook

Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"

pgd adversarial-attacks binarized-neural-networks quantized-neural-networks

• Updated May 6, 2022
• Python

"Security Evaluation of a Face Recognition System": Final project for the AI for Cybersecurity course. This repository explores the robustness of deep learning image classifiers against adversarial attacks and evaluating common defense strategies.

pgd face-recognition face-detection bim resnet-50 adversarial-machine-learning fgsm carlini-wagner deepfool vggface2 jpeg-compression-technique spatial-smoothing feature-squeezing

• Updated May 21, 2026
• Jupyter Notebook

A cross-layer IoMT anomaly detection dataset with real traffic, labeled attacks, and FGSM/PGD adversarial samples for robust security research.

iot pgd binary-classification multiclass-classification anomaly-detection fgsm iomt

• Updated Feb 19, 2026
• Jupyter Notebook

some tricks for sentence representation

pgd consent ema lookahead sentence-representation contrastive-learning r-dropout

• Updated Jun 5, 2023
• Python

Projected Gradient Descent (PGD), inverted and amplified -> prompt & generate images with CLIP

ai pgd generative adversarial clip adversarial-examples adversarial-attacks xai vision-transformer generative-ai

• Updated Jul 28, 2024
• Python

Protect artwork from AI scraping with adversarial perturbations, imperceptible to humans, but poison to vision models. Upload an image and an ensemble PGD attack (ResNet-50 + MobileNetV2) fools classifiers server-side, with accounts, a gallery, and likes. Built for the IBM AI Builders Challenge.

kubernetes golang spring-boot computer-vision tensorflow pgd pytorch resnet adversarial-machine-learning mobilenet fgsm adversarial-attacks fastapi data-poisoning ibm-bob adversarial-perturbation image-cloaking ibm-bob-hackathon art-protection ibm-ai-builders

• Updated Oct 19, 2026
• TypeScript

Adversarial robustness evaluation framework for ML-based NIDS. Categorical robustness framework, the False Champion Problem. Backs IEEE Access submission. DoD-funded research with West Point.

machine-learning pgd pytorch cybersecurity clever network-intrusion-detection robustness adversarial-machine-learning research-code fsgm

• Updated Apr 17, 2026
• Python

对抗测试

pgd textcnn fgsm tensorflow2 freelb

• Updated Apr 24, 2022
• Python

Programa de Gestão e Desempenho (PGD) versão SESEP (Secretaria de Avaliação e Gestão da Informação) em Docker/container.

linux docker kubernetes dockerfile ubuntu docker-compose postgresql container pgd windows-10 haproxy k8s docker-desktop wsl2 traefik-v2 unilab sqlserver-2019 susep teletrabalho erivando

• Updated Nov 23, 2022
• C#

Defence of Five

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• Updated Aug 13, 2023
• GDScript

Adversarial attacks on Wav2Vec2, ResNet-18 and YOLOv8n, including a measured look at how much the loss weighting actually matters for attack success versus imperceptibility.

computer-vision jupyter-notebook pgd pytorch speech-recognition image-classification resnet object-detection adversarial-attacks ai-security wav2vec2 yolov8

• Updated Sep 25, 2026
• Jupyter Notebook