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Projects in Awesome Lists tagged with adversarial-learning

A curated list of projects in awesome lists tagged with adversarial-learning .

https://github.com/thunlp/taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

adversarial-attacks adversarial-defense adversarial-learning natural-language-processing nlp paper-list

Last synced: 14 May 2025

https://github.com/thunlp/TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

adversarial-attacks adversarial-defense adversarial-learning natural-language-processing nlp paper-list

Last synced: 27 Mar 2025

https://github.com/wasidennis/AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

adversarial-learning computer-vision deep-learning domain-adaptation generative-adversarial-network pytorch semantic-segmentation

Last synced: 13 Jul 2025

https://github.com/pumpikano/tf-dann

Domain-Adversarial Neural Network in Tensorflow

adversarial-learning domain-adaptation tensorflow-models

Last synced: 04 Apr 2025

https://github.com/hfslyc/AdvSemiSeg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

adversarial-learning computer-vision deep-learning pytorch semantic-segmentation semi-supervised-learning

Last synced: 20 Mar 2025

https://github.com/k2kobayashi/crank

A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder

adversarial-learning cyclic-constraints speech-synthesis vocoder voice-conversion vqvae

Last synced: 06 Apr 2025

https://github.com/vita-group/augmax

[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

adversarial-learning imagenet-c model-robustness normalization-techniques out-of-distribution

Last synced: 19 Apr 2025

https://github.com/dipanjans/adversarial-learning-robustness

Contains materials for workshops pertaining to adversarial robustness in deep learning.

adversarial-attacks adversarial-learning computer-vision deep-learning python tensorflow

Last synced: 30 Apr 2025

https://github.com/zhiqiangdon/pose-adv-aug

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

adversarial-learning data-augmentation human-pose-estimation

Last synced: 30 Apr 2025

https://github.com/lariffle/collateral-learning

Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks

adversarial-learning collateral-learning functional-encryption partially-encrypted-networks

Last synced: 08 Oct 2025

https://github.com/nishiwen1214/dropattack

Code of paper: "DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks"

adversarial-learning dropattack generalization pytorch pytorch-implementation text-classification

Last synced: 15 May 2025

https://github.com/chenglongchen/tensorflow-asp-mtl

A Tensorflow implementation of Adversarial Shared-Private Model for Multi-Task Learning and Transfer Learning.

adversarial-learning multi-task-learning transfer-learning

Last synced: 10 Apr 2025

https://github.com/gugarosa/nalp

🗣️ NALP is a library that covers Natural Adversarial Language Processing.

adversarial-learning machine-learning natural-language-processing python tensorflow2

Last synced: 11 Sep 2025

https://github.com/yeonghyeon/advae

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

adversarial-learning auto-encoder generative-neural-network variational-autoencoder

Last synced: 06 Jul 2025

https://github.com/chunyuanli/ras

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

adversarial-learning amortized-inference entropy-regularizer reinforcement-learning sampling-methods

Last synced: 15 Apr 2025

https://github.com/fra31/robust-finetuning

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

adversarial-learning adversarial-robustness adversarial-training

Last synced: 08 May 2025

https://github.com/zinoex/bound_propagation

Linear and interval bound propagation in Pytorch with easy-to-use API and GPU support.

adversarial-learning bound-propagation pytorch robustness verification

Last synced: 15 Jun 2025

https://github.com/yigitozgumus/polimi_thesis

This is the code repository of my master's thesis titled "Adversarially Learned Anomaly Detection using Generative Adversarial Networks"

adversarial-feature-learning adversarial-learning anomaly-detection autoencoder deep-learning generative-adversarial-network machine-learning novelty-detection tensorflow thesis-project

Last synced: 07 May 2025

https://github.com/bliutech/adversarial-networks

ECE C147: Neural Networks & Deep Learning. Repository for "Developing Robust Networks to Defend Against Adversarial Examples". Implementing adversarial data augmentation on CNNs and RNNs.

adversarial-learning cnn fgsm pytorch rnn

Last synced: 12 Apr 2025

https://github.com/gugarosa/tsgan_nlg

📄 Official implementation regarding the paper "Natural Language Generation With Similarity-Based Adversarial Learning".

adversarial-learning language-generation machine-learning similarity ts-gan

Last synced: 28 Jul 2025

https://github.com/kapshaul/onlinelearning

Repository of Online Learning algorithms, including Bandits, UCB, and more.

adaptive-ad adversarial-learning bandit bandit-learning linear-regression machine-learning online-learning upper-confidence-bound

Last synced: 28 Dec 2025

https://github.com/alexpalms/diambra-arena-marl-tleague

A customization of Tencent’s TLeague for self-play in DIAMBRA Arena. Enables population-based adversarial training in multi-agent environments using league-style training loops and dynamic opponent selection.

adversarial-learning diambra league-training marl self-play

Last synced: 07 Sep 2025

https://github.com/measterpojo/adversarial-discriminative-domain-adaptation

Adversarial Discriminative Domain Adaptation (ADDA) is a domain adaptation approach that uses adversarial training to align the feature distributions of the source and target domains in an unsupervised setting

adversarial-learning computer-vision deep-learning deep-neural-networks domain-adaptation python pytorch unsupervised-learning

Last synced: 18 Jun 2025

https://github.com/arduino88/connect-4-solver

(In Progress) A simple program designed to optimize an enemy AI in Connect-4 using adversarial reinforcement learning

adversarial-learning machine-learning pygame python python3 pytorch reinforcement-learning

Last synced: 26 Mar 2025

https://github.com/jaypmorgan/adaptive-neighbourhoods

Python API for generating adapted and unique neighbourhoods for searching for adversarial examples.

adversarial-attacks adversarial-examples adversarial-learning deep-learning machine-learning

Last synced: 20 Jun 2025

https://github.com/sovrasov/lightweight-robust-models

Scripts for training adversarially robust classification models

adversarial-attacks adversarial-learning python3 pytorch

Last synced: 10 Oct 2025

https://github.com/nuccitheboss/jespipe

Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis.

adversarial-learning command-line-tool deep-learning hpc-applications machine-learning mpi4py openmpi plugins python xml

Last synced: 25 Aug 2025