Adversarial Attacks on Image Translation Systems

This chapter explores the complexities of attacking image translation systems, particularly focusing on deepfakes and the adaptation of methodologies like the Fast Gradient Sign Method. The speakers discuss the challenges of optimizing image outputs, the limitations of traditional metrics, and the implications of noise sensitivity in different architectures. Additionally, it highlights the delicate balance between executing effective adversarial attacks and developing robust defenses against them.