Maxime Cordy

Even with state-of-the-art defenses, individual records with unique signatures remain highly vulnerable to membership inference attacks in tabular data.

Attention mechanisms in tabular models can leak sensitive membership information, revealing a surprising vulnerability that traditional defenses overlook.