Hacking Generative Models with Differentiable Network Bending

Giacomo Aldegheri, Alina Rogalska, Ahmed Youssef +1

In this work, we propose a method to 'hack' generative models, pushing their outputs away from the original training distribution towards a new objective. We inject a small-scale t…