Topic: adversarial-attacks Goto Github

👇 Here are 824 public repositories matching this topic...

1konny / fgsm
adversarial-attacks,Simple pytorch implementation of FGSM and I-FGSM
User: 1konny
adversarial-example adversarial-attacks machine-learning-security

a1600012888 / yopo-you-only-propagate-once
adversarial-attacks,Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
User: a1600012888
deep-learning adversarial-attacks optimization optimal-control

advboxes / advbox
adversarial-attacks,Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
Organization: advboxes
adversarial-examples paddlepaddle machine-learning security deep-learning adversarial-example onnx graphpipe fgsm adversarial-attacks

agencyenterprise / promptinject
adversarial-attacks,PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022
Organization: agencyenterprise
ai-safety language-models ml-safety agi ai-alignment agi-alignment adversarial-attacks gpt-3 large-language-models machine-learning

ain-soph / trojanzoo
adversarial-attacks,TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
User: ain-soph
Home Page: https://ain-soph.github.io/trojanzoo
pytorch backdoor-attacks image-classification adversarial-attacks deep-learning

ashafahi / free_adv_train
adversarial-attacks,Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
User: ashafahi
Home Page: https://arxiv.org/abs/1904.12843
adversarial-machine-learning adversarial-attacks adversarial-learning adversarial-example adversarial-examples adversarial attack-defense attack robust robustness

automorphic-ai / aegis
adversarial-attacks,Self-hardening firewall for large language models
Organization: automorphic-ai
Home Page: https://automorphic.ai
adversarial-attacks llmops prompt-injection security large-language-models

bethgelab / foolbox
adversarial-attacks,A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Organization: bethgelab
Home Page: https://foolbox.jonasrauber.de
adversarial-examples machine-learning python adversarial-attacks pytorch tensorflow jax keras

bishopfox / sliver
adversarial-attacks,Adversary Emulation Framework
Organization: bishopfox
security-tools implant golang dns-server http c2 command-and-control red-team red-teaming red-team-engagement

borealisai / advertorch
adversarial-attacks,A Toolbox for Adversarial Robustness Research
Organization: borealisai
pytorch adversarial-examples adversarial-example adversarial-perturbations adversarial-attacks adversarial-machine-learning adversarial-learning robustness toolbox security

bosch-aisecurity-aishield / watchtower
adversarial-attacks,AIShield Watchtower: Dive Deep into AI's Secrets! 🔍 Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ⚙️🛡️
Organization: bosch-aisecurity-aishield
Home Page: https://www.boschaishield.com/
adversarial-attacks aisec aisecurity mlops mlsecops security security-automation security-tools supply-chain vulnerability-scanners

chandlerbang / awesome-graph-attack-papers
adversarial-attacks,Adversarial attacks and defenses on Graph Neural Networks.
User: chandlerbang
adversarial-attacks graph-neural-networks literature-review machine-learning deep-learning defense graph robustness adversarial-examples awesome

chandlerbang / pro-gnn
adversarial-attacks,Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
User: chandlerbang
Home Page: https://arxiv.org/abs/2005.10203
graph-neural-networks adversarial-attacks defense deep-learning machine-learning graph-structure-recovery graph-mining attack-defense semi-supervised-learning pytorch

csdongxian / awp
adversarial-attacks,Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
User: csdongxian
neurips-2020 adversarial-attacks pytorch adversarial-training

danielzuegner / gnn-meta-attack
adversarial-attacks,Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
User: danielzuegner
Home Page: https://www.kdd.in.tum.de/gnn-meta-attack
machine-learning meta-learning adversarial-attacks graph-mining deep-learning neural-networks graph-neural-networks graph-neural-network

danielzuegner / nettack
adversarial-attacks,Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
User: danielzuegner
Home Page: https://www.cs.cit.tum.de/daml/forschung/nettack/
machine-learning adversarial-attacks graph-mining deep-learning neural-networks

deadbits / vigil-llm
adversarial-attacks,⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
User: deadbits
Home Page: https://vigil.deadbits.ai/
llm-security prompt-injection adversarial-attacks adversarial-machine-learning large-language-models llmops yara-scanner security-tools

dse-msu / deeprobust
adversarial-attacks,A pytorch adversarial library for attack and defense methods on images and graphs
User: dse-msu
adversarial-attacks adversarial-examples deep-learning deep-neural-networks defense graph-convolutional-networks graph-mining graph-neural-networks machine-learning

fra31 / auto-attack
adversarial-attacks,Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
User: fra31
Home Page: https://arxiv.org/abs/2003.01690
adversarial-defenses adversarial-attacks adversarial-robustness

haofanwang / awesome-computer-vision
adversarial-attacks,Awesome Resources for Advanced Computer Vision Topics
User: haofanwang
computer-vision deep-learning awesome-list paper vision-project vision-and-language trajectory-prediction interpretability video-analysis pose-estimation

harry24k / adversarial-attacks-pytorch
adversarial-attacks,PyTorch implementation of adversarial attacks [torchattacks].
User: harry24k
Home Page: https://adversarial-attacks-pytorch.readthedocs.io/en/latest/index.html
deep-learning pytorch adversarial-attacks

harry24k / pgd-pytorch
adversarial-attacks,A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
User: harry24k
deep-learning pytorch adversarial-attacks

hbaniecki / adversarial-explainable-ai
adversarial-attacks,💡 Adversarial attacks on explanations and how to defend them
User: hbaniecki
Home Page: https://doi.org/10.1016/j.inffus.2024.102303
interpretable-machine-learning adversarial-machine-learning iml adversarial-attacks interpretability xai explainable-ai adversarial-examples explainability attacks

hendrycks / natural-adv-examples
adversarial-attacks,A Harder ImageNet Test Set (CVPR 2021)
User: hendrycks
adversarial-attacks robustness adversarial-example ml-safety imagenet domain-generalization

huntdownproject / hednsextractor
adversarial-attacks,A suite for hunting suspicious targets, expose domains and phishing discovery
Organization: huntdownproject
Home Page: https://huntdownproject.github.io/
threat-hunting threat-intelligence threatintel adversarial-attacks malware-analysis phishing-detection

jeromerony / adversarial-library
adversarial-attacks,Library containing PyTorch implementations of various adversarial attacks and resources
User: jeromerony
machine-learning adversarial-attacks adversarial-examples pytorch

jeromerony / fast_adversarial
adversarial-attacks,Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
User: jeromerony
machine-learning adversarial-attacks adversarial-example

jind11 / textfooler
adversarial-attacks,A Model for Natural Language Attack on Text Classification and Inference
User: jind11
adversarial-attacks bert bert-model text-classification natural-language-inference natural-language-processing

kabkabm / defensegan
adversarial-attacks,Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
User: kabkabm
deep-learning adversarial-attacks adversarial-examples iclr2018 generative-adversarial-network

koukyosyumei / aijack
adversarial-attacks,Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
User: koukyosyumei
security machine-learning adversarial-attacks adversarial-examples adversarial-machine-learning membership-inference model-inversion-attacks evasion-attack poisoning-attacks privacy

madrylab / photoguard
adversarial-attacks,Raising the Cost of Malicious AI-Powered Image Editing
Organization: madrylab
Home Page: https://gradientscience.org/photoguard/
adversarial-attacks adversarial-examples deep-learning deepfakes robustness stable-diffusion computer-vision

makcedward / nlpaug
adversarial-attacks,Data augmentation for NLP
User: makcedward
Home Page: https://makcedward.github.io/
nlp augmentation machine-learning artificial-intelligence data-science natural-language-processing adversarial-attacks adversarial-example ai ml

max-andr / square-attack
adversarial-attacks,Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
User: max-andr
Home Page: https://arxiv.org/abs/1912.00049
adversarial-attacks black-box-attacks zeroth-order-optimization random-search adversarial-robustness robustness

microsoft / promptbench
adversarial-attacks,A unified evaluation framework for large language models
Organization: microsoft
Home Page: http://aka.ms/promptbench
adversarial-attacks chatgpt evaluation large-language-models robustness prompt prompt-engineering benchmark

natanielruiz / disrupting-deepfakes
adversarial-attacks,🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
User: natanielruiz
adversarial-attacks disrupting-deepfakes deepfakes deep-learning machine-learning computer-vision deepfake-detection face-swap faceswap fake-news

qdata / textattack
adversarial-attacks,TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Organization: qdata
Home Page: https://textattack.readthedocs.io/en/master/
machine-learning security natural-language-processing nlp adversarial-machine-learning adversarial-attacks data-augmentation adversarial-examples

ryderling / deepsec
adversarial-attacks,DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
User: ryderling
adversarial-attacks adversarial-examples defenses deep-leaning

safe-graph / graph-adversarial-learning-literature
adversarial-attacks,A curated list of adversarial attacks and defenses papers on graph-structured data.
Organization: safe-graph
machine-learning graph-algorithms adversarial-machine-learning data-mining awesome-list literature-review deep-learning security graph-attack adversarial-attacks

safreita1 / tiger
adversarial-attacks,Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
User: safreita1
Home Page: https://graph-tiger.readthedocs.io
graph robustness vulnerability attack defense simulation cascading-failures diffusion networks epidemics

sarathknv / adversarial-examples-pytorch
adversarial-attacks,Implementation of Papers on Adversarial Examples
User: sarathknv
adversarial-examples adversarial-attacks adversarial-perturbations adversarial-defence adversarial-learning generative-adversarial-networks fgsm deep-neural-networks deep-learning pytorch

shangtse / robust-physical-attack
adversarial-attacks,Physical adversarial attack for fooling the Faster R-CNN object detector
User: shangtse
adversarial-machine-learning adversarial-examples adversarial-attacks object-detection faster-rcnn computer-vision

shubhomoydas / ad_examples
adversarial-attacks,A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
User: shubhomoydas
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees

sisinflab / adversarial-recommender-systems-survey
adversarial-attacks,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.
Organization: sisinflab
adversarial-machine-learning future-visions literature-review recommender-system adversarial-attacks security machine-learning deep-learning gan generative-adversarial-network

tao-bai / attack-and-defense-methods
adversarial-attacks,A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
User: tao-bai
adversarial-attacks adversarial-defense adversarial-examples adversarial-machine-learning machine-learning

thu-ml / ares
adversarial-attacks,A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Organization: thu-ml
Home Page: https://thu-ml-ares.rtfd.io
adversarial-machine-learning benchmark-framework adversarial-attacks adversarial-robustness fgsm bim mi-fgsm deepfool nes spsa

thuccslab / awesome-lm-ssp
adversarial-attacks,A reading list for large models safety, security, and privacy.
User: thuccslab
Home Page: https://github.com/ThuCCSLab/Awesome-LM-SSP
adversarial-attacks awesome-list diffusion-models jailbreak language-model llm nlp privacy safety security

thunlp / openattack
adversarial-attacks,An Open-Source Package for Textual Adversarial Attack.
Organization: thunlp
Home Page: https://openattack.readthedocs.io/
adversarial-attacks nlp adversarial-example natural-language-processing pytorch

thunlp / taadpapers
adversarial-attacks,Must-read Papers on Textual Adversarial Attack and Defense
Organization: thunlp
paper-list nlp adversarial-learning adversarial-attacks adversarial-defense natural-language-processing

trusted-ai / adversarial-robustness-toolbox
adversarial-attacks,Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Organization: trusted-ai
Home Page: https://adversarial-robustness-toolbox.readthedocs.io/en/latest/
python attack adversarial-machine-learning poisoning trusted-ai artificial-intelligence extraction adversarial-attacks adversarial-examples evasion

vinairesearch / anti-dreambooth
adversarial-attacks,Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
Organization: vinairesearch
Home Page: https://anti-dreambooth.github.io/
adversarial-attacks dreambooth personalization stable-diffusion text-to-image