The Brazilian Data at Risk in the Age of AI?
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Abstract (arXiv)
Advances in image processing and analysis as well as machine learning techniques have contributed to the use of biometric recognition systems in daily people tasks. These tasks range from simple access to mobile devices to tagging friends in photos shared on social networks and complex financial operations on self-service devices for banking transactions. In China, the use of these systems goes beyond personal use becoming a country's government policy with the objective of monitoring the behavior of its population. On July 05th 2021, the Brazilian government announced acquisition of a biometric recognition system to be used nationwide. In the opposite direction to China, Europe and some American cities have already started the discussion about the legality of using biometric systems in public places, even banning this practice in their territory. In order to open a deeper discussion about the risks and legality of using these systems, this work exposes the vulnerabilities of biometric recognition systems, focusing its efforts on the face modality. Furthermore, it shows how it is possible to fool a biometric system through a well-known presentation attack approach in the literature called morphing. Finally, a list of ten concerns was created to start the discussion about the security of citizen data and data privacy law in the Age of Artificial Intelligence (AI).
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 25 references that are in the map. First posted on arXiv 3 May 2022.
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9 of 25 references.
References · 9
- 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
- 2022Generative Adversarial Networkscited by 5,603
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- 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
- 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
- 2020One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencingcited by 438
- 2019Consistency Regularization for Generative Adversarial Networkscited by 134
- 2017On the Reconstruction of Face Images from Deep Face Templatescited by 66
- 2020Face Morphing Attack Generation & Detection: A Comprehensive Surveycited by 63
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