Simone Aonzo

Orcid: 0000-0001-9547-3502

According to our database1, Simone Aonzo authored at least 23 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents.
CoRR, March, 2026

Trust Under Siege: Label Spoofing Attacks Against Machine Learning for Android Malware Detection.
IEEE Trans. Inf. Forensics Secur., 2026

Unveiling BYOVD Threats: Malware's Use and Abuse of Kernel Drivers.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
The Dark Side of Native Code on Android.
ACM Trans. Priv. Secur., May, 2025

The Polymorphism Maze: Understanding Diversities and Similarities in Malware Families.
Proceedings of the Computer Security - ESORICS 2025, 2025

Family Ties: A Close Look at the Influence of Static Features on the Precision of Malware Family Clustering.
Proceedings of the APWG Symposium on Electronic Crime Research, 2025

A Closer Look At Modern Evasive Phishing Emails.
Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

2024
How to Train your Antivirus: RL-based Hardening through the Problem Space.
Proceedings of the 27th International Symposium on Research in Attacks, 2024

Unmasking the Veiled: A Comprehensive Analysis of Android Evasive Malware.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023
Humans vs. Machines in Malware Classification.
Proceedings of the 32nd USENIX Security Symposium, 2023

Android, Notify Me When It Is Time To Go Phishing.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
RE-Mind: a First Look Inside the Mind of a Reverse Engineer.
Proceedings of the 31st USENIX Security Symposium, 2022

2021
Longitudinal Study of the Prevalence of Malware Evasive Techniques.
CoRR, 2021

Trust, But Verify: A Longitudinal Analysis Of Android OEM Compliance and Customization.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

2020
Novel Attacks and Defenses in the Userland of Android.
PhD thesis, 2020

Low-Resource Footprint, Data-Driven Malware Detection on Android.
IEEE Trans. Sustain. Comput., 2020

Obfuscapk: An open-source black-box obfuscation tool for Android apps.
SoftwareX, 2020

Prevalence and Impact of Low-Entropy Packing Schemes in the Malware Ecosystem.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2019
Droids in Disarray: Detecting Frame Confusion in Hybrid Android Apps.
Proceedings of the Data and Applications Security and Privacy XXXIII, 2019

2018
Phishing Attacks on Modern Android.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
RmPerm: A Tool for Android Permissions Removal.
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017


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