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adversarial-robustness-toolbox

v2.0.2

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poiso adversarial robustness toolbox, python.

Sourced from ClawHub, Authored by bytesagain4

Installation

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Adversarial Robustness Toolbox

A multi-purpose utility tool for managing data entries, searching records, and exporting information from the command line. The Adversarial Robustness Toolbox CLI provides a lightweight, file-based data management system with timestamped logging and full CRUD operations.

Commands

Command Description
run Execute the main function with provided arguments
config Display configuration file path and log the action
status Show current operational status (reports "ready" when healthy)
init Initialize the data directory and prepare the environment
list List all entries stored in the data log file
add Add a new timestamped entry to the data log
remove Remove a specified entry from the data store
search Search entries by keyword (case-insensitive grep)
export Export all stored data to stdout
info Display version number and data directory path
help Show the full help message with all available commands
version Print the current version string

Data Storage

All data is stored in plain text files under the data directory:

  • Data log: $DATA_DIR/data.log — stores all entries added via add, one per line with date prefix
  • History log: $DATA_DIR/history.log — audit trail of every command executed with timestamps
  • Config: $DATA_DIR/config.json — referenced by the config command

Default data directory: ~/.local/share/adversarial-robustness-toolbox/

Override by setting the ADVERSARIAL_ROBUSTNESS_TOOLBOX_DIR environment variable:

export ADVERSARIAL_ROBUSTNESS_TOOLBOX_DIR="/custom/path/to/data"

Requirements

  • Bash (with set -euo pipefail support)
  • Standard Unix utilities: grep, cat, date, echo
  • No external dependencies or API keys required

When to Use

  1. Quick data logging — When you need a fast CLI-based way to log timestamped entries for ML security experiments or adversarial testing notes
  2. Searching through records — When you need to find specific entries across your data log using keyword search
  3. Exporting data for reports — When you need to dump all stored records to stdout or pipe them into another tool for further analysis
  4. Lightweight experiment tracking — When you want a minimal, file-based system to track adversarial robustness experiments, model evaluations, or attack results
  5. System initialization and status checks — When you need to verify the tool is properly initialized and check its operational health

Examples

# Initialize the toolbox and verify status
adversarial-robustness-toolbox init
adversarial-robustness-toolbox status

# Add entries to track experiments
adversarial-robustness-toolbox add "FGSM attack on ResNet50 — accuracy dropped 23%"
adversarial-robustness-toolbox add "PGD defense applied — robustness improved to 78%"
adversarial-robustness-toolbox add "Carlini-Wagner L2 attack test on MNIST classifier"

# List all stored entries
adversarial-robustness-toolbox list

# Search for specific attack types
adversarial-robustness-toolbox search "FGSM"

# Export all data to a backup file
adversarial-robustness-toolbox export > experiment-log.txt

# Check version and data directory info
adversarial-robustness-toolbox info
adversarial-robustness-toolbox version

Output

All commands return output to stdout. You can redirect to a file:

adversarial-robustness-toolbox export > output.txt
adversarial-robustness-toolbox list > entries.txt

Every command execution is logged to $DATA_DIR/history.log for auditing purposes.

Configuration

Set the ADVERSARIAL_ROBUSTNESS_TOOLBOX_DIR environment variable to change the data directory. Default: ~/.local/share/adversarial-robustness-toolbox/

# Example: use a custom directory
export ADVERSARIAL_ROBUSTNESS_TOOLBOX_DIR="$HOME/.art-data"
adversarial-robustness-toolbox init

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