Skip to content

wuhanstudio/blackbox-adversarial-toolbox

Repository files navigation

Black-box Adversarial Toolbox (BAT)

Build Status PyPI version License: MIT PyPI - Python Version

A Python Library for Deep Learning Security that focuses on Distributed Black-Box Attacks.

Installation

pip install blackbox-adversarial-toolbox

Usage (CLI)

Usage: bat [OPTIONS] COMMAND [ARGS]...

  The CLI tool for Black-box Adversarial Toolbox (BAT).

Options:
  --help  Show this message and exit.

Commands:
  api      Manage Cloud APIs
  attack   Manage Attacks
  example  Manage Examples

Useful commands:

# List supported Cloud APIs
$ bat api list

# List supported Attacks
$ bat attack list

# Test Cloud APIs
$ bat api run deepapi
$ bat api run google
$ bat api run imagga

# Run exmaples
$ bat example run simba_deepapi
$ bat example run bandits_deepapi
$ bat example run square_deepapi

Usage (Python)

import numpy as np
from PIL import Image

from bat.attacks import SimBA
from bat.apis.deepapi import DeepAPI_VGG16_Cifar10

# Load Image
x = np.asarray(Image.open("dog.jpg").convert('RGB'))
x = np.array([x])

# Initialize the Cloud API Model
DEEP_API_URL = 'http://localhost:8080'
model = DeepAPI_VGG16_Cifar10(DEEP_API_URL)

# Get Preditction
y_pred = model.predict(x)[0]

# Distributed SimBA Attack
simba = SimBA(model)
x_adv = simba.attack(x, np.argmax(y_pred), epsilon=0.05, max_it=10)

About

Distributed Black-Box Attacks against Image Classification.

Topics

Resources

Stars

Watchers

Forks

Packages

No packages published
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy