Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face Recognition

Understand

State-of-the-art deep networks implicitly encode gender information while being trained for face recognition.

• Gender is often viewed as an important attribute with respect to identifying faces.
• However, the implicit encoding of gender information in face descriptors has two major issues: (a.) It makes the descriptors susceptible to privacy leakage, i.e.
• a malicious agent can be trained to predict the face gender from such descriptors.