The uncanny valley hypothesis, proposed already in the 1970s, suggests that almost but not
fully humanlike artificial characters will trigger a profound sense of unease. This hypothesis …

Face recognition has been successfully deployed in real-time applications, including secure
applications such as border control. The vulnerability of face recognition systems (FRSs) to …

Recently video generation has achieved substantial progress with realistic results.
Nevertheless, existing AI-generated videos are usually very short clips (" shot-level'') …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

We propose an efficient algorithm to embed a given image into the latent space of StyleGAN.
This embedding enables semantic image editing operations that can be applied to existing …

Diffusion models have achieved remarkable image generation quality surpassing previous
generative models. However a notable limitation of diffusion models in comparison to GANs …

Recently, researchers found that the intended generalizability of (deep) face recognition
systems increases their vulnerability against attacks. In particular, the attacks based on …

The uncanny valley hypothesis describes how increased human-likeness of artificial entities,
ironically, could elicit a surge of negative reactions from people. Much research has studied …

Because biometrics-based authentication offers several advantages over other
authentication methods, there has been a significant surge in the use of biometrics for user …

Faces are among the most informative stimuli we ever perceive: Even a split-second glimpse
of a person's face tells us his identity, sex, mood, age, race, and direction of attention. The …