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Dr. Erika Leal

Malware Obfuscation Analysis Hardware-Assisted Malware Detection Machine Learning For Cybersecurity
Baylor University Computer Science

About

Dr. Leal is a passionate computer scientist whose research focuses on the realm of cybersecurity. She combines the power of hardware features and machine learning to study malware that has been obfuscated. She enjoys being active in the Cyber@Baylor club and is coach of their competitive teams.

Research Performance Summary

6
Total Papers
81
Total Citations
2
H-Index
2021-2025
Active Research Span

First Recorded Paper

{Obfuscation-Resilient} Executable Payload Extraction From Packed Malware

Year: 2021

Citations: 61

Venue: 30th USENIX Security Symposium (USENIX Security 21)

Latest Recorded Paper

Low-Entropy Packed Binary Detection via Accurate Hardware Events Profiling

Year: 2025

Citations: 1

Venue: 2025 IEEE International Symposium on Hardware Oriented Security and Trust

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
1
2024
1
2023
3
2021
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 4
Journal 0
Book 1

Top Coauthors

Leal Ming Cheng

Research Impact by Period

2025-2026

Period Stats
Papers 1
Citations 1
Avg. Citations / Paper 1
H-Index 1

2020-2024

Period Stats
Papers 5
Citations 80
Avg. Citations / Paper 16
H-Index 2

Contact and Professional Links

Contact Information

Erika_Leal@baylor.edu
2547104394

Detected Research Keywords

No research keyword data found.