adversarial-learning

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Here are 242 public repositories matching this topic...

lucasdavid / afhp

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Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings

machine-learning adversarial-learning few-shot-learning

Updated Mar 1, 2024
Jupyter Notebook

Avinash793 / adversarial-attacks-on-load-forecasting-model

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Studied the impact of adversarial attacks on RNN Based load forecasting model.

security deep-learning keras python3 forecasting rnn forecasting-models adversarial-learning adversarial-machine-learning adversarial-examples adversarial-attacks rnn-lstm load-forecasting

Updated Jan 15, 2024
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MatteoM95 / Real-time-Domain-Adaptation-in-Semantic-Segmentation

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A class-based styling approach for Real-Time Domain Adaptation in Semantic Segmentation applied within the realm of autonomous driving solutions. Final project from MLDL course 2020/2021

real-time pytorch autonomous-driving adversarial-networks semantic-segmentation adversarial-learning domain-adaptation pytorch-gan pytorch-cnn torchvision

Updated Sep 1, 2022
Python

Arduino88 / connect-4-solver

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

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

Updated May 1, 2024
Python

zcrwind / dr-aim

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The source code of our BIBM 2019 paper "Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning".

reinforcement-learning paper pytorch imitation-learning adversarial-learning multitask-learning bibm-2019

Updated Mar 4, 2020

tqch / DAEkNN

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Deep Adversarially-Enhanced k-Nearest Neighbors

adversarial-learning

Updated Aug 17, 2021
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azmfaridee / strangan-chase-2021

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PyTorch Implementation of IEEE/ACM CHASE 2021 paper "STranGAN: Adversarially-Learnt Spatial Transformer for Scalable Human Activity Recognition"

gan adversarial-learning domain-adaptation generative-models wearable-computing learnable-data-augmentation

Updated Dec 9, 2021
Python

siantonelli / causal-mechanisms-on-pointclouds

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Independent Causal Mechanisms on 3D point clouds

3d-point-clouds adversarial-learning causal-mechanisms

Updated Jul 17, 2021
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centaurusyu / Artificial-Intelligence

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Several Projects about AI in Python.

astar-algorithm q-learning perceptron expectation-maximization-algorithm value-iteration adversarial-learning

Updated Feb 20, 2022
Python

ElianBelot / handcrafted-backdoors

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Introducing backdoors in neural networks through parameter-level manipulation.

backdoors adversarial-learning

Updated Sep 30, 2023
Jupyter Notebook

emaballarin / RADLER

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[Partial] RADLER: (adversarially) Robust Adversarial Distributional LEaRner

neural-network generative-adversarial-network bachelor-thesis minimax robustness adversarial-learning adversarial-machine-learning adversarial-defense distributional-learning aicps-units adversarial-robustness

Updated Jun 8, 2020
Python

basiralab / LG-DADA

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Learning-guided Graph Dual Adversarial Domain Alignment (LG-DADA) framework for predicting a target graph from a source graph.

clustering graph-generation brain-connectivity autism-spectrum-disorder adversarial-learning network-neuroscience graph-neural-networks graph-synthesis dual-network domain-alignment

Updated Dec 21, 2020
Python

victoriafoing / FACT-AI

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Fairness, Accountability, Confidentiality, Transparency in AI (FACT-AI).

natural-language-processing adversarial-learning fairness-ml debiasing-neural-networks

Updated Jan 31, 2020
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Undirected graphical models are compact representations of joint probability distributions over random variables. To solve inference tasks of interest, graphical models of arbitrary topology can be trained using empirical risk minimization. However, to solve inference tasks that were not seen during training, these models (EGMs) often need to be…

ensemble-learning graphical-models probabilistic-graphical-models adversarial-learning adversarial-machine-learning

Updated Oct 22, 2020
Python

abhijitpal1247 / MNIST-Retrain-with-DeepXplore

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DeepXplore (https://arxiv.org/abs/1705.06640) is a white-box framework for testing deep neural networks. Here, I have used the examples generated by the framework to retrain LeNet-5, LeNet-4 and LeNet-1.

adversarial-learning tensorflow2 deepxplore mnist-retrain

Updated Nov 9, 2020
Jupyter Notebook

bliutech / adversarial-networks

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

cnn pytorch rnn adversarial-learning fgsm

Updated Mar 26, 2023
Python

KayvanShah1 / pos-tagging-hmm-adversarial-learning

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This repository contains the implementation of a Part-of-Speech (POS) tagging system using Hidden Markov Models (HMMs) along with various decoding techniques and adversarial training strategies for sequence labeling tasks. Project for course DSCI 599 - Optimization Techniques for Data Science, Fall 2023