Papers by Gabriel Machado
As redes sociais online sao cada vez mais utilizadas por pessoas em todo mundo para compartilhar,... more As redes sociais online sao cada vez mais utilizadas por pessoas em todo mundo para compartilhar, de uma forma extremanente agil, todo tipo de informacao, inclusive informacoes sobre a condicao de saude. Este trabalho propoe uma metodologia de coleta de mensagens da rede social Twitter em que aplica-se um filtro para que sejam consideradas apenas as mensagens relacionadas as doencas causadas pelo mosquito Aedes Aegypti. Em seguida, essas mensagens sao distribuidas em duas classes: uma que reune as mensagens em que ha a suspeita de ocorrencia de uma doenca e outra que reune aquelas em que nao ha a suspeita. Os resultados obtidos mostram que a solucao proposta pode ser um complemento bastante util para os atuais mecanismos governamentais de vigilância.
ACM Computing Surveys, 2023
Deep Learning algorithms have achieved state-of-the-art performance for Image Classification. For... more Deep Learning algorithms have achieved state-of-the-art performance for Image Classification. For this reason, they have been used even in security-critical applications, such as biometric recognition systems and self-driving cars. However, recent works have shown those algorithms, which can even surpass human capabilities, are vulnerable to adversarial examples. In Computer Vision, adversarial examples are images containing subtle perturbations generated by malicious optimization algorithms to fool classifiers. As an attempt to mitigate these vulnerabilities, numerous countermeasures have been proposed recently in the literature. However, devising an efficient defense mechanism has proven to be a difficult task, since many approaches demonstrated to be ineffective against adaptive attackers. Thus, this article aims to provide all readerships with a review of the latest research progress on Adversarial Machine Learning in Image Classification, nevertheless, with a defender’s perspec...
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Papers by Gabriel Machado