Topic: adversarial-machine-learning Goto Github
Some thing interesting about adversarial-machine-learning
Some thing interesting about adversarial-machine-learning
adversarial-machine-learning,MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
User: akanimax
adversarial-machine-learning,Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"
User: akanimax
adversarial-machine-learning,T2F: text to face generation using Deep Learning
User: akanimax
adversarial-machine-learning,CTF challenges designed and implemented in machine learning applications
User: alexdevassy
adversarial-machine-learning,[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
Organization: alfa-group
adversarial-machine-learning,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,A guided mutation-based fuzzer for ML-based Web Application Firewalls
User: avalz
adversarial-machine-learning,Plausible looking adversarial examples for text classification
User: bogdan-kulynych
adversarial-machine-learning,A Toolbox for Adversarial Robustness Research
Organization: borealisai
adversarial-machine-learning,Radio Frequency Machine Learning with PyTorch
User: brysef
adversarial-machine-learning,Papers and resources related to the security and privacy of LLMs 🤖
User: chawins
Home Page: https://chawins.github.io/llm-sp
adversarial-machine-learning,[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
User: chenhongge
Home Page: http://arxiv.org/abs/2003.08938
adversarial-machine-learning,ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.
User: cyberalbsecop
adversarial-machine-learning,⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
User: deadbits
Home Page: https://vigil.deadbits.ai/
adversarial-machine-learning,Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
User: ebagdasa
adversarial-machine-learning,GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
User: edisonleeeee
adversarial-machine-learning,A curated collection of adversarial attack and defense on recommender systems.
User: edisonleeeee
adversarial-machine-learning,Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
User: hadisalman
Home Page: https://arxiv.org/abs/1906.04584
adversarial-machine-learning,💡 Adversarial attacks on explanations and how to defend them
User: hbaniecki
Home Page: https://doi.org/10.1016/j.inffus.2024.102303
adversarial-machine-learning,Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
User: huanzhang12
Home Page: https://openreview.net/pdf?id=Skxuk1rFwB
adversarial-machine-learning,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.
User: iarunava
adversarial-machine-learning,A Paperlist of Adversarial Attack on Object Detection
Organization: idrl-lab
adversarial-machine-learning,A curated list of useful resources that cover Offensive AI.
User: jiep
Home Page: https://jiep.github.io/offensive-ai-compilation/
adversarial-machine-learning,Adversarial Machine Learning (AML) Capture the Flag (CTF)
User: josephtlucas
adversarial-machine-learning,Adversarial Training for Neural Relation Extraction
User: jxwuyi
adversarial-machine-learning,Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
User: koukyosyumei
adversarial-machine-learning,Provable adversarial robustness at ImageNet scale
Organization: locuslab
Home Page: https://arxiv.org/abs/1902.02918
adversarial-machine-learning,This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
User: milaan9
adversarial-machine-learning,A curated list of trustworthy deep learning papers. Daily updating...
User: minghuichen43
adversarial-machine-learning,A Python library for Secure and Explainable Machine Learning
Organization: pralab
Home Page: https://secml.readthedocs.io
adversarial-machine-learning,Create adversarial attacks against machine learning Windows malware detectors
Organization: pralab
Home Page: https://secml-malware.readthedocs.io/
adversarial-machine-learning,The Security Toolkit for LLM Interactions
Organization: protectai
Home Page: https://llm-guard.com/
adversarial-machine-learning,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/
adversarial-machine-learning,Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
User: qilong-zhang
adversarial-machine-learning,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.
Organization: reds-lab
Home Page: https://arxiv.org/pdf/2204.05255.pdf
adversarial-machine-learning,RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
Organization: robustbench
Home Page: https://robustbench.github.io
adversarial-machine-learning,A curated list of adversarial attacks and defenses papers on graph-structured data.
Organization: safe-graph
adversarial-machine-learning,A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
Organization: safellama
adversarial-machine-learning,Physical adversarial attack for fooling the Faster R-CNN object detector
User: shangtse
adversarial-machine-learning,Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
User: shawn-shan
Home Page: https://sandlab.cs.uchicago.edu/fawkes
adversarial-machine-learning,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,A library for running membership inference attacks against ML models
Organization: spring-epfl
adversarial-machine-learning,A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
User: tao-bai
adversarial-machine-learning,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,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/
adversarial-machine-learning,TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
Organization: trustworthy-ai-group
adversarial-machine-learning,auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
Organization: verified-intelligence
Home Page: https://arxiv.org/pdf/2002.12920
adversarial-machine-learning,A Closer Look at Accuracy vs. Robustness
User: yangarbiter
Home Page: https://arxiv.org/abs/2003.02460
adversarial-machine-learning,The fastest && easiest LLM security and privacy guardrails for GenAI apps.
Organization: zenguard-ai
Home Page: https://zenguard.ai/
adversarial-machine-learning,A curated list of academic events on AI Security & Privacy
User: zhengyuzhao
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