Charles-Henry Bertrand Van Ouytsel

Comput. Secur., January, 2024

Analysis and classification of malware based on symbolic execution and machine learning.

[BibT_eX]

[DOI]

PhD thesis, 2024

Feature selection for packer classification based on association rule mining.

[BibT_eX]

[DOI]

Rosana Veroneze

Eng. Appl. Artif. Intell., 2024

Secure federated learning applied to medical imaging with fully homomorphic encryption.

[BibT_eX]

[DOI]

Xavier Lessage

Leandro Collier

Saïd Mahmoudi

Philippe Massonet

Proceedings of the 3rd IEEE International Conference on AI in Cybersecurity, 2024

Extended Abstract: Evading Packing Detection: Breaking Heuristic-Based Static Detectors.

[BibT_eX]

[DOI]

Alexandre D'Hondt

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2024

2023

On Exploiting Symbolic Execution to Improve the Analysis of RAT Samples with angr.

[BibT_eX]

[DOI]

Serena Lucca

Christophe Crochet

Proceedings of the Foundations and Practice of Security - 16th International Symposium, 2023

Experimental Toolkit for Manipulating Executable Packing.

[BibT_eX]

[DOI]

Alexandre D'Hondt

Proceedings of the Risks and Security of Internet and Systems, 2023

2022

Malware Analysis with Symbolic Execution and Graph Kernel.

[BibT_eX]

[DOI]

Proceedings of the Secure IT Systems, 2022

Tool Paper - SEMA: Symbolic Execution Toolchain for Malware Analysis.

[BibT_eX]

[DOI]

Christophe Crochet

Proceedings of the Risks and Security of Internet and Systems, 2022

Symbolic analysis meets federated learning to enhance malware identifier.

[BibT_eX]

[DOI]

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Analysis of Machine Learning Approaches to Packing Detection.

[BibT_eX]

[DOI]

CoRR, 2021

How to fool a black box machine learning based side-channel security evaluation.

[BibT_eX]

[DOI]