XIAO, C. et al. From patching delays to infection symptoms: Using risk profiles foran early discovery of vulnerabilities exploited in the wild. In:27th USENIX SecuritySymposium (USENIX Security 18)
Publicações por docente
Carmo de Oliveira*
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Juliana Baptista*, Paula Gomes*, Carmo de Oliveira*, João da Silva, Daniel SousaCHEN, H. et al. Using twitter to predict when vulnerabilities will be exploited. In:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge DiscoveryData Mining. New York, NY, USA: Association for Computing Machinery, 2019. (KDD’19).
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NAPPA, A. et al. The attack of the clones: A study of the impact of shared code onvulnerability patching. In: IEEE.2015 IEEE symposium on security and privacy. [S.l.],2015
Emerson Ricardo Pansarin
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XIAO, C. et al. From patching delays to infection symptoms: Using risk profiles foran early discovery of vulnerabilities exploited in the wild. In:27th USENIX SecuritySymposium (USENIX Security 18)
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NAPPA, A. et al. The attack of the clones: A study of the impact of shared code onvulnerability patching. In: IEEE.2015 IEEE symposium on security and privacy. [S.l.],2015
Flávia Vieira*
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Paula Gomes*, Flávia Vieira*, Daniel Sousaasdfkjasd asdf asdf asdf asdf asdfas dfa
Juliana Baptista*
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Juliana Baptista*, Paula Gomes*, Carmo de Oliveira*, João da Silva, Daniel SousaCHEN, H. et al. Using twitter to predict when vulnerabilities will be exploited. In:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge DiscoveryData Mining. New York, NY, USA: Association for Computing Machinery, 2019. (KDD’19).
Paula Gomes*
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Paula Gomes*, Flávia Vieira*, Daniel Sousaasdfkjasd asdf asdf asdf asdf asdfas dfa
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Juliana Baptista*, Paula Gomes*, Carmo de Oliveira*, João da Silva, Daniel SousaCHEN, H. et al. Using twitter to predict when vulnerabilities will be exploited. In:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge DiscoveryData Mining. New York, NY, USA: Association for Computing Machinery, 2019. (KDD’19).
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XIAO, C. et al. From patching delays to infection symptoms: Using risk profiles foran early discovery of vulnerabilities exploited in the wild. In:27th USENIX SecuritySymposium (USENIX Security 18)