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43 search results found

Styletts2 ⭐ 3,464

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Bert Ner Pytorch ⭐ 1,666

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

Semi-supervised adversarial neural networks for classification of single cell transcriptomics data

Understanding Fast Adv Training ⭐ 67

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Kitanaqa ⭐ 47

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

Language-Adversarial Training for Cross-Lingual Text Classification (TACL)

Featurescatter ⭐ 39

Feature Scattering Adversarial Training

[MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation" accepted in MICCAI 2023 conference.

Adversarial_robustness_pytorch ⭐ 37

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

Consistency Adversarial ⭐ 36

Consistency Regularization for Adversarial Robustness (AAAI 2022)

Sandwich Batch Normalization ⭐ 35

[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang

Revisiting At ⭐ 31

Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"

Adversarial Distributional Training ⭐ 31

Adversarial Distributional Training (NeurIPS 2020)

Learnable Boundary Guided Adversarial Training (ICCV2021)

Demog Text Removal ⭐ 29

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)

Delusive Adversary ⭐ 20

[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

Adversarial Patch Training ⭐ 18

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Feature Separation and Recalibration (CVPR 2023 Highlights)

Adv Part Model ⭐ 18

Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)

Adversarial Attack and Defense in Deep Ranking, arXiv:2106.03614

Robust Semantic Segmentation ⭐ 17

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Domain Shift Robustness ⭐ 16

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Mockingbird ⭐ 16

Keras with Tensorflow implementation of our paper "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces" which is published in IEEE Transactions on Information Forensics and Security (TIFS).

Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

Robust Finetuning ⭐ 13

Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"

Adv Reid ⭐ 12

Metric Adversarial Attacks and Defense

Domain Adaptation ⭐ 11

Domain Adaptation with Adversarial Training and Graph Embeddings

Ensemble_adversarial_attack ⭐ 10

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

Bayesian_unet ⭐ 10

Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)

Deepdomainadaptation ⭐ 10

Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)

[NeurIPS 2022 Spotlight] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

Vanilla Adversarial Training ⭐ 8

vanilla training and adversarial training in PyTorch

Privacyattack_at_fl ⭐ 7

A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.

Transferattacksurrogates ⭐ 7

The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.

Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training

Pytorch_bayesian_unet ⭐ 5

Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

Sparseadversarialtraining ⭐ 5

Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]

Robust Representation Matching ⭐ 5

Code for our USENIX Security '22 paper: Transferring Adversarial Robustness Through Robust Representation Matching.

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