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Fabricio Ceschin
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- affiliation: Todyl, USA
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2020 – today
- 2024
- [j9]Thalita Scharr Rodrigues Pimenta
, Fabricio Ceschin, Andre Gregio:
ANDROIDGYNY: Reviewing Clustering Techniques for Android Malware Family Classification. DTRAP 5(1): 3:1-3:35 (2024) - [j8]Fabrício Ceschin
Machine Learning (In) Security: A Stream of Problems. DTRAP 5(1): 9:1-9:32 (2024) - 2023
- [b1]Fabricio Ceschin:
Rogue one: rebelling against machine learning (in) security. Federal University of Paraná, Brazil, 2023 - [j7]Fabrício Ceschin
Fast & Furious: On the modelling of malware detection as an evolving data stream. Expert Syst. Appl. 212: 118590 (2023) - [c5]Luiz Giovanini
People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation. SocialSec 2023: 3-22 - 2022
- [j6]Marcus Botacin
AntiViruses under the microscope: A hands-on perspective. Comput. Secur. 112: 102500 (2022) - [j5]Luiz Giovanini
Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles. IEEE Trans. Biom. Behav. Identity Sci. 4(3): 412-423 (2022) - [i4]Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes
Fast & Furious: Modelling Malware Detection as Evolving Data Streams. CoRR abs/2205.12311 (2022) - 2021
- [j4]Marcus Botacin
Challenges and pitfalls in malware research. Comput. Secur. 106: 102287 (2021) - [j3]Marcus Botacin, Vitor Hugo Galhardo Moia, Fabricio Ceschin, Marco Aurélio Amaral Henriques
Understanding uses and misuses of similarity hashing functions for malware detection and family clustering in actual scenarios. Digit. Investig. 38: 301220 (2021) - [c4]Gabriel R. Castanhel, Tiago Heinrich
Taking a Peek: An Evaluation of Anomaly Detection Using System calls for Containers. ISCC 2021: 1-6 - [c3]Tiago Heinrich, Fabrício Ceschin, Felipe Marchi:
TeamUFPR at IDPT 2021: Equalizing a Strategy Using Machine Learning for Two Types of Data in Detecting Irony. IberLEF@SEPLN 2021: 925-932 - [i3]Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira:
Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles. CoRR abs/2105.09900 (2021) - 2020
- [j2]Marcus Botacin
We need to talk about antiviruses: challenges & pitfalls of AV evaluations. Comput. Secur. 95: 101859 (2020) - [i2]Fabricio Ceschin
Machine Learning (In) Security: A Stream of Problems. CoRR abs/2010.16045 (2020) - [i1]Mirela Silva, Fabrício Ceschin
Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak. CoRR abs/2012.02164 (2020)
2010 – 2019
- 2019
- [c2]Tamy Beppler, Marcus Botacin, Fabricio Ceschin, Luiz E. S. Oliveira, André Grégio
L(a)ying in (Test)Bed - How Biased Datasets Produce Impractical Results for Actual Malware Families' Classification. ISC 2019: 381-401 - [c1]Marcus Botacin, Lucas Galante, Fabricio Ceschin
The AV says: Your Hardware Definitions Were Updated! ReCoSoC 2019: 27-34 - 2018
- [j1]Fabricio Ceschin
The Need for Speed: An Analysis of Brazilian Malware Classifers. IEEE Secur. Priv. 16(6): 31-41 (2018)
Coauthor Index
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