Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks

Hamid Dashtbani, Mehdi Dousti Gandomani, AmirMahdi Sadeghzadeh

The paper introduces Random Logit Scaling, a plug‑and‑play post‑processing defense that randomly rescales model logits to thwart black‑box score‑based adversarial attacks while kee…