Images/photos of users is one of the highly-available

personal on-line information. People often publish images on

different social media (e.g., Facebook or Instagram) without disclosing their

private attributes such as their interests, list of friends, or places that

they visited. Although it is usually fairly easy for humans to infer private

information  (e.g., age, sex, interests, locations, etc.) about the image owner by carefully analyzing different objects of the image

(faces, background objects, activities, etc.) [1], the automation of such privacy attacks had been

difficult before the advent of Deep Learning.

The task is to process images of different users and infer their private

information  (e.g., age, sex, interests, locations, etc.) using machine learning.

Required skills: programming (preferably python)

Preferred (but not required) skills: machine learning (neural networks, deep learning)

[1] http://index.hu/fortepan/2017/01/08/itt_vannak_a_bravuros_fortepan_megfejtesek/