Topic: adversarial-examples Goto Github
Some thing interesting about adversarial-examples
Some thing interesting about adversarial-examples
adversarial-examples,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,🗣️ Tool to generate adversarial text examples and test machine learning models against them
Organization: airbnb
adversarial-examples,Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
User: anuragarnab
adversarial-examples,This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
User: as791
adversarial-examples,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-examples,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,A Toolbox for Adversarial Robustness Research
Organization: borealisai
adversarial-examples,The implementation of our ICCV 2023 paper "Downstream-agnostic Adversarial Examples"
Organization: cgcl-codes
Home Page: https://arxiv.org/pdf/2307.12280.pdf
adversarial-examples,Adversarial attacks and defenses on Graph Neural Networks.
User: chandlerbang
adversarial-examples,A curated list of awesome resources for adversarial examples in deep learning
User: chbrian
adversarial-examples,[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
User: chenhongge
Home Page: https://arxiv.org/pdf/1902.10660.pdf
adversarial-examples,adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
User: deqangss
adversarial-examples,A pytorch adversarial library for attack and defense methods on images and graphs
User: dse-msu
adversarial-examples,Code for the unrestricted adversarial examples paper (NeurIPS 2018)
Organization: ermongroup
adversarial-examples,[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
User: gmh14
Home Page: http://www.mit.edu/~yuzhe/robnets.html
adversarial-examples,💡 Adversarial attacks on explanations and how to defend them
User: hbaniecki
Home Page: https://doi.org/10.1016/j.inffus.2024.102303
adversarial-examples,Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
User: hendrycks
adversarial-examples,Adversarial Attacks on Deep Neural Networks for Time Series Classification
User: hfawaz
Home Page: https://germain-forestier.info/src/ijcnn2019/
adversarial-examples,Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
User: huanzhang12
Home Page: https://arxiv.org/pdf/2101.08452.pdf
adversarial-examples,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-examples,This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adversarial sample crafting.
User: j40903272
adversarial-examples,Library containing PyTorch implementations of various adversarial attacks and resources
User: jeromerony
adversarial-examples,Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
User: kabkabm
adversarial-examples,Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
User: kenny-co
Home Page: https://dl.acm.org/citation.cfm?id=3345660
adversarial-examples,Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
User: koukyosyumei
adversarial-examples,Raising the Cost of Malicious AI-Powered Image Editing
Organization: madrylab
Home Page: https://gradientscience.org/photoguard/
adversarial-examples,Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Organization: microsoft
Home Page: https://arxiv.org/abs/2003.01908
adversarial-examples,A PyTorch Toolbox for creating adversarial examples that fool neural networks.
User: nebula-beta
adversarial-examples,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-examples,Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
User: qilong-zhang
adversarial-examples,Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
User: rfeinman
adversarial-examples,Code for "Adversarial attack by dropping information." (ICCV 2021)
User: rjduan
adversarial-examples,DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
User: ryderling
adversarial-examples,Implementation of Papers on Adversarial Examples
User: sarathknv
adversarial-examples,Physical adversarial attack for fooling the Faster R-CNN object detector
User: shangtse
adversarial-examples,对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料
User: tanjuntao
adversarial-examples,A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
User: tao-bai
adversarial-examples,Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"
Organization: thunlp
adversarial-examples,Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Organization: tml-epfl
Home Page: https://arxiv.org/abs/2007.02617
adversarial-examples,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-examples,PhD/MSc course on Machine Learning Security (Univ. Cagliari)
Organization: unica-mlsec
Home Page: https://unica-mlsec.github.io/mlsec/
adversarial-examples,Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
User: utkuozbulak
adversarial-examples,alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
Organization: verified-intelligence
adversarial-examples,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-examples,PyTorch library for adversarial attack and training
User: wanglouis49
adversarial-examples,Machine Learning Attack Series
User: wunderwuzzi23
adversarial-examples,A Closer Look at Accuracy vs. Robustness
User: yangarbiter
Home Page: https://arxiv.org/abs/2003.02460
adversarial-examples,A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.
User: ylhz
adversarial-examples,A curated list of academic events on AI Security & Privacy
User: zhengyuzhao
adversarial-examples,Revisiting Transferable Adversarial Images (arXiv)
User: zhengyuzhao
Home Page: https://arxiv.org/abs/2310.11850
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