Topic: adversarial-training Goto Github
Some thing interesting about adversarial-training
Some thing interesting about adversarial-training
adversarial-training,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.
User: albertmillan
adversarial-training,Toolbox for measuring adversarial robustness to many transforms
User: alexjfoote
adversarial-training,Consistency Regularization for Adversarial Robustness (AAAI 2022)
Organization: alinlab
Home Page: https://arxiv.org/abs/2103.04623
adversarial-training,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)
User: asahi417
adversarial-training,[MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation" accepted in MICCAI 2023 conference.
User: asif-hanif
adversarial-training,Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
Organization: borealisai
adversarial-training,Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
Organization: calico
Home Page: https://scnym.research.calicolabs.com
adversarial-training,Language-Adversarial Training for Cross-Lingual Text Classification (TACL)
User: ccsasuke
Home Page: https://arxiv.org/abs/1606.01614
adversarial-training,Adversarial Attack and Defense in Deep Ranking, T-PAMI, 2024
User: cdluminate
Home Page: https://arxiv.org/abs/2106.03614
adversarial-training,Metric Adversarial Attacks and Defense
Organization: cea-list
adversarial-training,Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
User: chawins
Home Page: https://openreview.net/forum?id=bAMTaeqluh4
adversarial-training,Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
User: csdongxian
adversarial-training,Adversarial attacks on Deep Reinforcement Learning (RL)
User: davide97l
adversarial-training,Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
User: dedeswim
Home Page: https://arxiv.org/abs/2209.07399
adversarial-training,Adversarial Distributional Training (NeurIPS 2020)
User: dongyp13
adversarial-training,Learnable Boundary Guided Adversarial Training (ICCV2021)
Organization: dvlab-research
Home Page: https://arxiv.org/abs/2011.11164
adversarial-training,Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)
Organization: dvlab-research
adversarial-training,Feature Scattering Adversarial Training (NeurIPS19)
User: haichao-zhang
adversarial-training,Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets
User: hangjie720
adversarial-training,Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
User: harry24k
Home Page: https://arxiv.org/abs/2010.01799
adversarial-training,PyTorch implementation of adversarial training and defenses [Fantastic Robustness Measures: The Secrets of Robust Generalization, NeurIPS 2023].
User: harry24k
Home Page: https://openreview.net/forum?id=AGVBqJuL0T
adversarial-training,Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"
User: hectorlop
adversarial-training,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
User: imrahulr
adversarial-training,Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
User: imrahulr
adversarial-training,Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
User: kim-minseon
Home Page: https://sites.google.com/view/rocl2020
adversarial-training,Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
User: liangchen527
adversarial-training,Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
User: linzichuan
adversarial-training,Pytorch-Named-Entity-Recognition-with-transformers
User: liuyukid
adversarial-training,Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
User: lonepatient
adversarial-training,Experiments with distributionally robust optimization (DRO) for deep neural networks
User: longpham7
adversarial-training,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).
User: msrocean
adversarial-training,Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"
User: nmndeep
adversarial-training,Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
User: ricvolpi
adversarial-training,KitanaQA: Adversarial training and data augmentation for neural question-answering models
Organization: searchableai
adversarial-training,A beginner friendly repository for getting started with adversarial machine learning in PyTorch
User: shahrukhx01
adversarial-training,Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
User: sukrutrao
Home Page: https://arxiv.org/abs/2005.02313
adversarial-training,[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
User: tlmichael
adversarial-training,Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Organization: tml-epfl
Home Page: https://arxiv.org/abs/2007.02617
adversarial-training,[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
Organization: val-iisc
adversarial-training,[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang
Organization: vita-group
Home Page: https://github.com/VITA-Group/Sandwich-Batch-Normalization
adversarial-training,Feature Separation and Recalibration (CVPR 2023 Highlights)
User: wkim97
adversarial-training,"Enhancing Knowledge Tracing via Adversarial Training", ACM MM 2021 (Oral).
User: xiaopengguo
Home Page: https://dl.acm.org/doi/pdf/10.1145/3474085.3475554
adversarial-training,
User: yanaiela
adversarial-training,StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
User: yl4579
adversarial-training,PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
User: ylsung
adversarial-training,Chinese Machine Reading 2021海华AI挑战赛·中文阅读理解·技术组·第三名
User: yottaxx
adversarial-training,Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
User: yuta-hi
adversarial-training,Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
User: yuta-hi
adversarial-training,Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": LXMERT adversarial training part
User: zhegan27
Home Page: https://arxiv.org/pdf/2006.06195.pdf
adversarial-training,Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
User: zhegan27
Home Page: https://arxiv.org/pdf/2006.06195.pdf
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