In this thesis, we explore the growing prevalence of recognition technology and its implications for individual privacy. It traces the development of facial recognition technology from early breakthroughs such as the Viola-Jones detector to modern systems based on deep learning, highlighting their increasing accuracy and widespread use in both the public and private sectors. We reflect on the ethical and legal dilemmas posed by ubiquitous surveillance, particularly regarding the erosion of privacy rights. We also examine the biases inherent in these technologies, which often lead to misidentification and disproportionate impact on marginalized communities. We present various theoretical and practical countermeasures aimed at circumventing recognition systems, including physical cloaking, adversarial patches and specialized accessories. We then bring together theoretical knowledge into a collection of clothing and fashion accessories titled »Faceless people«. In it, we combine several different cloaking methods, from adversarial patterns, which we created and tested for face recognition and detection. In addition to the clothing collection, we present fashion accessories that at least partially enable privacy. Ultimately, we emphasize the ongoing challenge of protecting privacy in an age of advanced surveillance, advocating for robust legislation, ethical developments, and greater public awareness to mitigate the risks associated with these powerful technologies.
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