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Back to dreamtalecore/refool

Projects sharing features with Refool

16 open-source projects similar to dreamtalecore/refool, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • trusted-ai/adversarial-robustness-toolboxTrusted-AI avatar

    Trusted-AI/adversarial-robustness-toolbox

    6,056View on GitHub↗

    The Adversarial Robustness Toolbox (ART) is an open-source library that provides a unified framework for evaluating, defending, and certifying machine learning models against adversarial threats. It wraps models from any framework behind a common estimator interface, enabling composable pipelines for attack generation, defense application, robustness certification, and privacy auditing across evasion, poisoning, and extraction threats. The library distinguishes itself by covering the full adversarial ML security lifecycle within a single toolkit. It supports gradient-based adversarial example

    Pythonadversarial-attacksadversarial-examplesadversarial-machine-learning
    View on GitHub↗6,056
  • advdoor/advdoorA

    AdvDoor/AdvDoor

    0View on GitHub↗
    View on GitHub↗0
  • ekko-zn/ijcai2022-backdoorE

    Ekko-zn/IJCAI2022-Backdoor

    0View on GitHub↗

    Train GTSRB dataset ` python main.py --dataset GTSRB --numclass 43 --a 0.3 --b 0.1 --weightdecay 0 Train CelebA dataset python main.py --dataset CelebA --numclass 8 --a 0.3 --b 0.1 --weightdecay 1e-4 `

    View on GitHub↗0
  • georgepisl/backdoor-attacks-based-on-deep-learningGeorgePisl avatar

    GeorgePisl/backdoor-attacks-based-on-deep-learning

    21View on GitHub↗

    Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper

    Jupyter Notebook
    View on GitHub↗21

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  • hsouri/sleeper-agenthsouri avatar

    hsouri/Sleeper-Agent

    69View on GitHub↗

    This code is the official PyTroch implementation of the Sleeper Agent. Our implementation is based on Industrial Scale Data Poisoning via Gradient Matching.

    Python
    View on GitHub↗69
  • madrylab/label-consistent-backdoor-codeMadryLab avatar

    MadryLab/label-consistent-backdoor-code

    57View on GitHub↗

    This repository contains the code to replicate experiments in our paper:

    Python
    View on GitHub↗57
  • megum1/dfstMegum1 avatar

    Megum1/DFST

    30View on GitHub↗

    This is the official repository for AAAI'21 paper Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. Refer to our paper in https://arxiv.org/abs/2012.11212.

    Python
    View on GitHub↗30
  • purduepaml/trojannnPurduePAML avatar

    PurduePAML/TrojanNN

    190View on GitHub↗

    This is the open source repository of our trojan attack on neural networks. The paper is published in Proc. of NDSS 2018. The slides

    Python
    View on GitHub↗190
  • robbycostales/live-trojansrobbycostales avatar

    robbycostales/live-trojans

    9View on GitHub↗

    This repository contains code related to the paper Live Trojan Attacks On Deep Neural Networks, by Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, and Junfeng Yang. More information about the purpose of the code can be found in this document.

    Python
    View on GitHub↗9
  • ru-system-software-and-security/bppattackRU-System-Software-and-Security avatar

    RU-System-Software-and-Security/BppAttack

    22View on GitHub↗

    See requirements.txt

    Python
    View on GitHub↗22
  • sewoonglab/ntk-backdoorSewoongLab avatar

    SewoongLab/ntk-backdoor

    2View on GitHub↗
    Python
    View on GitHub↗2
  • shihaozhaozsh/video-backdoor-attackS

    ShihaoZhaoZSH/Video-Backdoor-Attack

    0View on GitHub↗

    Environment: Python3.6.5, TensorFlow-gpu1.14 Dataset: UCF101, Model: I3D This is our paper link. You can firstly run traincleanmodel.py to get a clean-trained I3D model. The generatetrigger.py and enhancetrigger.py correspond to Backdoor Trigger Generation and Enhancing Backdoor Trigger sections…

    View on GitHub↗0
  • softwiser-group/ftrojanSoftWiser-group avatar

    SoftWiser-group/FTrojan

    21View on GitHub↗

    python==3.8.3 numpy==1.19.4 tensorflow==2.4.0 opencv==4.5.1 idx2numpy==1.2.3 pytorch==1.7.0

    Python
    View on GitHub↗21
  • unispac/circumventing-backdoor-defensesUnispac avatar

    Unispac/Circumventing-Backdoor-Defenses

    47View on GitHub↗

    Official repostory for Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023).

    Python
    View on GitHub↗47
  • 928082786/pnoiseattack928082786 avatar

    928082786/pnoiseattack

    5View on GitHub↗

    We propose a noval global backdoor trigger called Procedural Noise Trigger, which is generated by the procedural noise.

    Python
    View on GitHub↗5
  • yuezunli/issbayuezunli avatar

    yuezunli/ISSBA

    106View on GitHub↗

    This project is developed with Python 3.6 on Ubuntu 18.04. Please run the following script to install the required packages `shell pip install -r requirements.txt `

    Python
    View on GitHub↗106