README.md

metadata

title: Adversarial Attack Demo
emoji: 🛡️
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: mit

Adversarial Attack Demo | FGSM & PGD

Upload an image and watch how small, imperceptible perturbations can fool a neural network classifier.

Courses: 215 AI Safety ch1-ch2

Features

• FGSM (Fast Gradient Sign Method) attack
• PGD (Projected Gradient Descent) iterative attack
• Side-by-side comparison: original vs perturbation vs adversarial
• Adjustable epsilon, step size, and iteration count
• L-inf / L2 / SSIM metrics