Adversarial Robustness Toolbox

---

version: "2.0.0"

name: Adversarial Robustness Toolbox

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

author: BytesAgain

homepage: https://bytesagain.com

source: https://github.com/bytesagain/ai-skills

---

# 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:

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

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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