The Need for Speed: An Analysis of Brazilian Malware Classifers. - Fabricio Ceschin; Felipe Azevedo Pinage; Marcos A. Castilho; David Menotti; Luiz S. Oliveira; Andre Gregio (IEEE Secur. Priv., 2018)

L(a)ying in (Test)Bed - How Biased Datasets Produce Impractical Results for Actual Malware Families' Classification. - Tamy Beppler; Marcus Botacin; Fabricio Ceschin; Luiz E. S. Oliveira; André Grégio (ISC, 2019)

The AV says: Your Hardware Definitions Were Updated! - Marcus Botacin; Lucas Galante; Fabricio Ceschin; Paulo C. Santos 001; Luigi Carro; Paulo Lício de Geus; André Grégio; Marco A. Z. Alves (ReCoSoC, 2019)

We need to talk about antiviruses: challenges & pitfalls of AV evaluations. - Marcus Botacin; Fabricio Ceschin; Paulo L. de Geus; André Grégio (Comput. Secur., 2020)

Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak. - Mirela Silva; Fabrício Ceschin; Prakash Shrestha; Christopher Brant; Juliana Fernandes 002; Catia S. Silva; André Grégio; Daniela Oliveira 001; Luiz Giovanini (CoRR, 2020)

Taking a Peek: An Evaluation of Anomaly Detection Using System calls for Containers. - Gabriel R. Castanhel; Tiago Heinrich; Fabrício Ceschin; Carlos Maziero (ISCC, 2021)

TeamUFPR at IDPT 2021: Equalizing a Strategy Using Machine Learning for Two Types of Data in Detecting Irony. - Tiago Heinrich; Fabrício Ceschin; Felipe Marchi (IberLEF@SEPLN, 2021)

Challenges and pitfalls in malware research. - Marcus Botacin; Fabricio Ceschin; Ruimin Sun; Daniela Oliveira 001; André Grégio (Comput. Secur., 2021)

Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles. - 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; et al. (CoRR, 2021)

Understanding uses and misuses of similarity hashing functions for malware detection and family clustering in actual scenarios. - Marcus Botacin; Vitor Hugo Galhardo Moia; Fabricio Ceschin; Marco Aurélio Amaral Henriques; André Grégio (Digit. Investig., 2021)

AntiViruses under the microscope: A hands-on perspective. - Marcus Botacin; Felipe Duarte Domingues; Fabrício Ceschin; Raphael Machnicki; Marco Antonio Zanata Alves; Paulo Lício de Geus; André Grégio (Comput. Secur., 2022)

Fast & Furious: Modelling Malware Detection as Evolving Data Streams. - Fabrício Ceschin; Marcus Botacin; Heitor Murilo Gomes; Felipe Azevedo Pinage; Luiz S. Oliveira; André Grégio (CoRR, 2022)

Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles. - 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; et al. (IEEE Trans. Biom. Behav. Identity Sci., 2022)

People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation. - Luiz Giovanini; Shlok Gilda; Mirela Silva; Fabrício Ceschin; Prakash Shrestha; Christopher Brant; Juliana Fernandes 002; Catia S. Silva; André Grégio; Daniela Oliveira 001 (SocialSec, 2023)

Fast & Furious: On the modelling of malware detection as an evolving data stream. - Fabrício Ceschin; Marcus Botacin; Heitor Murilo Gomes; Felipe Azevedo Pinage; Luiz S. Oliveira; André Grégio (Expert Syst. Appl., 2023)

Rogue one: rebelling against machine learning (in) security - Fabricio Ceschin (2023)

Machine Learning (In) Security: A Stream of Problems. - Fabrício Ceschin; Marcus Botacin; Albert Bifet; Bernhard Pfahringer; Luiz S. Oliveira; Heitor Murilo Gomes; André Grégio (DTRAP, 2024)

ANDROIDGYNY: Reviewing Clustering Techniques for Android Malware Family Classification. - Thalita Scharr Rodrigues Pimenta; Fabricio Ceschin; Andre Gregio (DTRAP, 2024)

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels. - Twisha Chattopadhyay; Fabricio Ceschin; Marco E. Garza; Dymytriy Zyunkin; Animesh Chhotaray; Aaron P. Stebner; Saman A. Zonouz; Raheem Beyah (CoRR, 2025)