  With the spread of DeepFake techniques, this technology has become quite
accessible and good enough that there is concern about its malicious use. Faced
with this problem, detecting forged faces is of utmost importance to ensure
security and avoid socio-political problems, both on a global and private
scale. This paper presents a solution for the detection of DeepFakes using
convolution neural networks and a dataset developed for this purpose -
Celeb-DF. The results show that, with an overall accuracy of 95% in the
classification of these images, the proposed model is close to what exists in
the state of the art with the possibility of adjustment for better results in
the manipulation techniques that arise in the future.
