GitHub topics: adversarial-machine-learning
mitre/arlin
ARLIN is a research library written in Python that provides explainability outputs and vulnerability detection for DRL models, specifically designed to increase model assurance and identify vulnerabilities and potential points of failure within a trained model. https://mitre.github.io/arlin/
Language: Python - Size: 13.3 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 1
advex-papers-rss/advex-papers-rss.github.io
RSS feed for adversarial example papers.
Language: Python - Size: 38.1 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
xfetus/midl2023
:page_facing_up: Short paper to Medical Imaging with Deep Learning 2023 (#MIDL2023) > https://arxiv.org/abs/2304.03941
Language: Jupyter Notebook - Size: 85.8 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 1
krishnakanthnakka/Transferable_Perturbations
[NeurIPS2021] Code Release of Learning Transferable Perturbations
Language: Python - Size: 28.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 27 - Forks: 4
ASRS-Lab/Awesome-DL-Security-and-Privacy-Papers
Awesome-DL-Security-and-Privacy-Papers
Language: SCSS - Size: 105 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
shehzeen/waveguard_defense
This is the codebase for defense framework described in USENIX '21 paper "WaveGuard: Understanding and Mitigating Audio Adversarial Examples"
Language: Python - Size: 446 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 6
oskarfernlund/niteshade
Library for simulating data poisoning attack and defence strategies against online machine learning systems.
Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: 10 days ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 2
TrustAIoT/LRS
Code for AAAI 2024 paper: LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Language: Python - Size: 6.84 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0
shahariar-shibli/Adversarial-Attack-on-POS-Tags
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
Language: Jupyter Notebook - Size: 101 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0
Bai-YT/AdaptiveSmoothing
Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0
lanl/AdversarialTensors
Tensors-based framework for adversarial robustness
Language: Python - Size: 4.68 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
AvalZ/WAF-A-MoLE
A guided mutation-based fuzzer for ML-based Web Application Firewalls
Language: Python - Size: 4.44 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 171 - Forks: 31
ankile/Adversarial-Diffusion
Code for a paper exploring using diffusion models to defend neural networks against adversarial attacks
Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1
392781/FaceOff
Steps towards physical adversarial attacks on facial recognition
Language: Python - Size: 132 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 80 - Forks: 14
tsumarios/GenAI4CySec
A collection of spooky scripts that demonstrate the potential of Large Language Models (LLMs) to support CySec tasks.
Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
akanimax/T2F
T2F: text to face generation using Deep Learning
Language: Python - Size: 498 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 548 - Forks: 100
wecarsoniv/augmented-pca
Repository for the AugmentedPCA Python package.
Language: Python - Size: 63 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 10 - Forks: 0
metadriverse/cat
[CoRL'23] Adversarial Training for Safe End-to-End Driving
Language: Python - Size: 66.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 52 - Forks: 3
rufimelo99/ml_security
Package for security in machine learning. Contains known algorithms for adversarial attacks and defenses.
Language: Python - Size: 419 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
cuge1995/IT-Defense
Our code for paper 'The art of defense: letting networks fool the attacker', IEEE Transactions on Information Forensics and Security, 2023
Language: Python - Size: 502 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 0
cuge1995/ICML-2021-adversarial-attack-and-defense
ICML-2021 paper and code list on adversarial-attack-and-defense
Size: 1.95 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
cuge1995/U6DA
official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'
Size: 4.88 KB - Last synced at: 13 days ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 0
kayua/StyleGan-Tensorflow-Implementation
Style GAN Implementation with Tensorflow
Language: Python - Size: 199 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
tomcohen13/AI-Squid-Game
The final assignment I've written for Columbia University's Artificial Intelligence graduate course (COMS W4701)
Language: Python - Size: 1020 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
giorgiosld/Machine-Learning-in-Cybersecurity
This repository contains the coursework and projects for the Machine Learning in Cybersecurity (T-710-MLCS) course supplied in the Cybersecurity Master Degree at Reykjavik University.
Language: Python - Size: 77.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
RomainPierre7/adversarial-perturbations
School AI semester project
Language: Python - Size: 2.74 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
yangarbiter/adversarial-nonparametrics
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Language: Python - Size: 42.4 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 4
shreyansh26/ConvNeXt-Adversarial-Examples
Generating Adversarial examples for ConvNeXt
Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
TMIS-Turbo/OARL
[TIV, 2022] Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach
Language: Python - Size: 496 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
mitre/inap
A pipeline for generating inconspicuous naturalistic adversarial patches (INAPs) against object detectors with one input image
Language: Python - Size: 12.6 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 7 - Forks: 1
xirui-li/DrAttack
Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
Language: JavaScript - Size: 59.2 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 22 - Forks: 6
LAiSR-SK/.github
Size: 108 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
jiinkee/malicious_ai
A simple research project related to Deepfake and Adversarial Attacks against ML model.
Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
emadef1/FaultGuard
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
LixiaoTHU/ROCK
Recognition by Components
Language: Python - Size: 122 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0
zrthxn/CryptoGAN
Final year project. A GAN based approach to encrypt communication between two symmetrically secure parties.
Language: Python - Size: 52.1 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 1
Tech-sculpt/NeuroAd
NeuroAd uses EEG data to predict how audiences will engage with advertisements. By analyzing brainwave patterns, it provides insights into ad performance, helping optimize content before launch. This project combines neuroscience with machine learning for a data-driven approach to enhancing ad effectiveness.
Language: HTML - Size: 13.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
andreaventuri01/Structural_attacks_GNN_NIDS
Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks"
Language: Jupyter Notebook - Size: 3.51 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0
dongyp13/Adversarial-Distributional-Training
Adversarial Distributional Training (NeurIPS 2020)
Language: Python - Size: 195 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 60 - Forks: 9
FACL-Attack/FACL-Attack.github.io
Project Page (FACL-Attack, AAAI 2024)
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sisinflab/adversarial-recommender-systems-survey
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
Size: 203 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 156 - Forks: 32
ALFA-group/robust-adv-malware-detection
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
Language: Python - Size: 618 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 99 - Forks: 41
imrahulr/hat
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
Language: Python - Size: 251 KB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 29 - Forks: 5
thenamangoyal/adversarial-attack
Binary Iterative Method for Non Adversarial Attack
Size: 4.19 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
moohax/Talks
Central repo for talks and presentations
Size: 37.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 41 - Forks: 2
IBM/integration-of-adversarial-attacks-in-training-pipeline 📦
Use a Jupyter notebook to integrate the Adversarial Robustness Toolbox (ART) into a neural network model training pipeline with Fabric for Deep Learning to find model vulnerabilities.
Language: Jupyter Notebook - Size: 733 KB - Last synced at: 14 days ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 8
mbs0221-mlsys/Adversarial-DL
adversarial deep learning
Size: 3.91 KB - Last synced at: 10 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2
himanii777/DeblurGAN_ipynb_simplified
This is a very simplified ipynb code for KupynOrest's Deblur GAN code. DeblurGAN addresses the challenge of end-to-end image deblurring through the use of conditional Generative Adversarial Networks (cGANs).I have used pytorch for this implementation.
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
thinwayliu/Watermark-Vaccine
The code for ECCV2022 (Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal)
Language: Python - Size: 18.8 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 5
Derek-Wds/MAD-VAE
Manifold Awareness Defense Variational Autoencoder
Language: Python - Size: 282 MB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 4 - Forks: 2
AmiraGuesmi-mls/Stochastic-Input-Transformation
A stochastic input pre-processing technique based on a process of down-sampling/up-sampling using convolution and transposed convolution layers. Defending convolutional neural network against adversarial attacks.
Language: Python - Size: 2.32 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
AmiraGuesmi-mls/Offline-Online-Model-ROOM-
OOM: Adversarial Machine Learning Attacks Under Time Constraints
Language: Jupyter Notebook - Size: 133 KB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1
reds-lab/Narcissus
The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.
Language: Python - Size: 143 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 96 - Forks: 10
shoryasethia/GAN
Implementing various Generative Adversarial Networks
Language: Jupyter Notebook - Size: 238 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
CLIAgroup/ANDA
[CVPR2024 Highlight] Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
Language: Python - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1
msrocean/mockingbird
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).
Language: Python - Size: 625 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 31 - Forks: 9
KnowledgeDiscovery/FaceSec Fork of shinington/facesec
Code for "FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems" @ CVPR 2021
Language: Python - Size: 2.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1
ZaydH/MalwareGAN
Adversarial Malware Generator Using GANs
Language: Python - Size: 513 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 46 - Forks: 21
shahrukhx01/bert-probe
BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipes of implicit and explicit defenses against character-level attacks.
Language: Jupyter Notebook - Size: 43.8 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 3
Haichao-Zhang/FeatureScatter
Feature Scattering Adversarial Training (NeurIPS19)
Language: Python - Size: 16.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 71 - Forks: 11
vcosss/nim-py
Multiplayer Nim AI Game-Engine
Language: Python - Size: 11.3 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
junwu6/FedBVA
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning
Language: Python - Size: 18.2 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1
dependable-cps/AdversarialAttack-PHM
Language: Python - Size: 9.78 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 12
OPTML-Group/AdvUnlearn
Official implementation of "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models"
Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0
microsoft/AMOS
[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Language: Python - Size: 3.93 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 24 - Forks: 2
birhanu-eshete/birhanu-eshete.github.io
Birhanu Eshete is an Associate Professor of Computer Science at the University of Michigan, Dearborn. His main research focus is in trustworthy machine learning with emphasis on security, safety, privacy, interpretability, fairness, and the dynamics thereof. He also studies online cybercrime and advanced and persistent threats (APTs).
Language: HTML - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
aucad/aml-networks
Evaluating adversarial machine learning attacks in network intrusion detection systems.
Language: Python - Size: 12.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
advboxes/perceptron-benchmark
Robustness benchmark for DNN models.
Language: Python - Size: 54.8 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 66 - Forks: 15
suinleelab/cxr_adv
Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 5
ogunlao/adversarial-example-presentation
Contains a presentation and notebook of various Adversarial Example methods.
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1
poloclub/robust-physical-attack Fork of shangtse/robust-physical-attack
Physical adversarial attack for fooling the Faster R-CNN object detector
Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 1
Cippppy/YMCA
YOLO Multi-Object Color Attack (YMCA) is an adversarial attack created by Christian Cipolletta as part of Rowan University's Engineering Clinic.
Language: Python - Size: 48.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
trustworthy-ml-course/trustworthy-ml-course.github.io
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
Language: HTML - Size: 1.98 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
bogdan-kulynych/textfool
Plausible looking adversarial examples for text classification
Language: Python - Size: 85 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 92 - Forks: 32
kenny-co/procedural-advml
Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 55 - Forks: 10
iArunava/scratchai
scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.
Language: Python - Size: 17.6 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 96 - Forks: 18
ValerianRey/fed_iot_guard
Detection of IoT devices infected by malwares from their network communications, using federated machine learning
Language: Jupyter Notebook - Size: 24.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 18
jh-jeong/smoothing-multiscale
Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
Language: Python - Size: 4.25 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0
Wuziyi616/IF-Defense
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
Language: Python - Size: 5.97 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 59 - Forks: 11
iamgroot42/blackboxsok
Code for 'SoK: Pitfalls in Evaluating Black-Box Attacks' , SaTML 2024.
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
eth-sri/drs
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
Language: Terra - Size: 4.14 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
alirezaabdollahpour/SuperDeepFool
Language: Python - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1
antonior92/advtrain-linreg
Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"
Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
harsmac/MUFIACode
Code for the attack multiplicative filter attack MUFIA, from the paper "Frequency-based vulnerability analysis of deep learning models against image corruptions".
Language: Python - Size: 3.03 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0
akanimax/some-randon-gan-1
MSG-GAN with self attention. For MSG-GAN head to -> https://github.com/akanimax/MSG-GAN
Language: Python - Size: 58.4 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 2
akanimax/pro_gan_pytorch-examples
Examples trained using the python pytorch package pro-gan-pth
Language: Python - Size: 1.29 GB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 15
akanimax/GAN-understanding
Implements gans on toy datasets and preliminary ML datasets for showing certain aspects of convergence and stability. Tries to cover various loss functions defined over the years.
Language: Jupyter Notebook - Size: 9.08 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 3
sisinflab/Visual-Adversarial-Recommendation
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendation tasks.
Language: Python - Size: 19.8 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1
sisinflab/Perceptual-Rec-Mutation-of-Adv-VRs
Accepted at WDSC@NeurIPS2020
Language: Python - Size: 933 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
gparrella12/ml_pentest
This is a software framework that can be used for the evaluation of the robustness of Malware Detection methods with respect to adversarial attacks.
Language: Python - Size: 53.9 MB - Last synced at: about 19 hours ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
WenbinLee/DefensiveFSL
The Pytorch code of "Defensive Few-Shot Learning", TPAMI 2023.
Language: Python - Size: 14.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0
val-iisc/GD-UAP
Generalized Data-free Universal Adversarial Perturbations
Language: Python - Size: 8.66 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 68 - Forks: 13
CozartKevin/CS-480_Artificial_Intelligence_SSU
Course work for SSU's CS480 which is a survey of techniques that simulate human intelligence.
Language: C++ - Size: 31.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
CristianCosci/Adversarial_attacks_on_Explainability_methods Fork of Ellyuca/AGV-Project
AGV-Project for evolutionary adversarial attacks on XAI methods
Language: Python - Size: 158 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ashafahi/free_adv_train
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Language: Python - Size: 48.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 170 - Forks: 30
sungyoon-lee/LossLandscapeMatters
[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️⚠️
Language: Python - Size: 113 KB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 2
wagner-group/reap-benchmark
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
Language: Python - Size: 20.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 1
celestialelites/security-zeitgeist
An optimistic list of where to find security information
Size: 12.7 KB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0
yunyuntsai/DNN-Model-Stealing
Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3
AmiraGuesmi-mls/Defensive-Approximation
Implementation of our proposed defense strategy against adversarial attacks "Defensive Approximation (DA)"
Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 2