Who Watches the Watchmen: A Security-focused Review on Current State-of-the-art Techniques, Tools, and Methods for Systems and Binary Analysis on Modern Platforms. - Marcus Botacin; Paulo Lício de Geus; André Ricardo Abed Grégio (ACM Comput. Surv., 2018)

Enhancing Branch Monitoring for Security Purposes: From Control Flow Integrity to Malware Analysis and Debugging. - Marcus Botacin; Paulo Lício de Geus; André Grégio (ACM Trans. Priv. Secur., 2018)

The other guys: automated analysis of marginalized malware. - Marcus Botacin; Paulo Lício de Geus; André Ricardo Abed Grégio (J. Comput. Virol. Hacking Tech., 2018)

The Internet Banking [in]Security Spiral: Past, Present, and Future of Online Banking Protection Mechanisms based on a Brazilian case study. - Marcus Botacin; Anatoli Kalysch; André Grégio (ARES, 2019)

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)

"VANILLA" malware: vanishing antiviruses by interleaving layers and layers of attacks. - Marcus Botacin; Paulo Lício de Geus; André Grégio (J. Comput. Virol. Hacking Tech., 2019)

On the Security of Application Installers and Online Software Repositories. - Marcus Botacin; Giovanni Bertão; Paulo L. de Geus; André Grégio; Christopher Kruegel; Giovanni Vigna (DIMVA, 2020)

Near-Memory & In-Memory Detection of Fileless Malware. - Marcus Botacin; André Grégio; Marco Antonio Zanata Alves (MEMSYS, 2020)

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

The self modifying code (SMC)-aware processor (SAP): a security look on architectural impact and support. - Marcus Botacin; Marco Antonio Zanata Alves; André Grégio (J. Comput. Virol. Hacking Tech., 2020)

Leveraging branch traces to understand kernel internals from within. - Marcus Botacin; Paulo Lício de Geus; André Grégio (J. Comput. Virol. Hacking Tech., 2020)

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

A [in]Segurança dos Sistemas Governamentais Brasileiros: Um Estudo de Caso em Sistemas Web e Redes Abertas. - Marcus Botacin; André Grégio (CoRR, 2021)

Malware MultiVerse: From Automatic Logic Bomb Identification to Automatic Patching and Tracing. - Marcus Botacin; André Grégio (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)

One Size Does Not Fit All: A Longitudinal Analysis of Brazilian Financial Malware. - Marcus Botacin; Hojjat Aghakhani; Stefano Ortolani; Christopher Kruegel; Giovanni Vigna; Daniela Oliveira 001; Paulo Lício de Geus; André Grégio (ACM Trans. Priv. Secur., 2021)

Dissecting Applications Uninstallers and Removers: Are They Effective? - Marcus Botacin; André Grégio (ISC, 2022)

Why We Need a Theory of Maliciousness: Hardware Performance Counters in Security. - Marcus Botacin; André Grégio (ISC, 2022)

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)

HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection. - Marcus Botacin; Marco Antonio Zanata Alves; Daniela Oliveira 001; André Grégio (Expert Syst. Appl., 2022)

A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation. - Ruimin Sun; Marcus Botacin; Nikolaos Sapountzis; Xiaoyong Yuan; Matt Bishop; Donald E. Porter; Xiaolin Li 001; Andre Gregio; Daniela Oliveira 001 (IEEE Trans. Dependable Secur. Comput., 2022)

Terminator: A Secure Coprocessor to Accelerate Real-Time AntiViruses Using Inspection Breakpoints. - Marcus Botacin; Francis B. Moreira 001; Philippe O. A. Navaux; André Grégio; Marco A. Z. Alves (ACM Trans. Priv. Secur., 2022)

A Game-Based Framework to Compare Program Classifiers and Evaders. - Thaís Damásio; Michael Canesche; Vinícius Pacheco; Marcus Botacin; Anderson Faustino da Silva; Fernando Magno Quintão Pereira (CGO, 2023)

Enhancing Malware Family Classification in the Microsoft Challenge Dataset via Transfer Learning. - Marcelo Invert Palma Salas; Paulo L. de Geus; Marcus Botacin (LADC, 2023)

GPThreats-3: Is Automatic Malware Generation a Threat? - Marcus Botacin (SP (Workshops), 2023)

Introduction to the Special Issue on Memory-Based Malware and Other Unconventional Threats. - Marcus Botacin; Uriel Kosayev; Ruimin Sun (DTRAP, 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)

What do malware analysts want from academia? A survey on the state-of-the-practice to guide research developments. - Marcus Botacin (RAID, 2024)

Cross-Regional Malware Detection via Model Distilling and Federated Learning. - Marcus Botacin; Heitor Murilo Gomes (RAID, 2024)

The Use of the DWARF Debugging Format for the Identification of Potentially Unwanted Applications (PUAs) in WebAssembly Binaries. - Calebe Helpa; Tiago Heinrich; Marcus Botacin; Newton Carlos Will; Rafael R. Obelheiro; Carlos Alberto Maziero (SECRYPT, 2024)

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice. - Tushar Nayan; Qiming Guo; Mohammed Alduniawi; Marcus Botacin; A. Selcuk Uluagac; Ruimin Sun (USENIX Security Symposium, 2024)

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)

Fuzzing and Symbolic Execution for Multipath Malware Tracing: Bridging Theory and Practice via Survey and Experiments. - Marcus Botacin (Digit. Threat. Res. Pract., 2024)

Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines. - Jayesh Tripathi; Heitor Murilo Gomes; Marcus Botacin (DIMVA (2), 2025)

ML-Based Behavioral Malware Detection Is Far From a Solved Problem. - Yigitcan Kaya; Yizheng Chen 001; Marcus Botacin; Shoumik Saha; Fabio Pierazzi; Lorenzo Cavallaro; David A. Wagner 001; Tudor Dumitras (SaTML, 2025)

Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms' "Typo" Correction. - Seyyed Ali Ayati; Jin Hyun Park; Yichen Cai; Marcus Botacin (WOOT, 2025)

Towards more realistic evaluations: The impact of label delays in malware detection pipelines. - Marcus Botacin; Heitor Murilo Gomes (Comput. Secur., 2025)

On the uniqueness of AntiVirus labels: How many labels do we need to fingerprint an AV? - Marcus Botacin (J. Comput. Virol. Hacking Tech., 2025)