Scholar
Hadjer Benkraouda
Google Scholar ID: URSTXhQAAAAJ
Ph.D. Student, University of Illinois at Urbana-Champaign
Citations & Impact
Citations
290
H-index
8
i10-index
8
Publications
14
Co-authors
4
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: 'You Can’t Judge a Binary by Its Header: Data-Code Separation for Non-Standard ARM Binaries using Pseudo Labels' (IEEE S&P 2025); 'VeriSMS: A Message Verification System for Inclusive Patient Outreach against Phishing Attacks' (CHI 2024) among others; Awards: Winner of Amazon Nova AI Challenge 2025, WiCyS Graduate Poster Award 2025.
Research Experience
- Member of i-DASH Lab; involved in multiple research projects including the performance of the PurpCorn-PLAN team in the Amazon Nova AI Challenge; presented work at conferences such as IEEE S&P, WiCys; joined ACTION’s Student Council; became a Grainger College of Engineering Diversity Ambassador.
Education
- PhD Candidate, Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, under the supervision of Prof. Gang Wang, from August 2020 to present.
Background
- Research interests: binary analysis, artificial intelligence, and human factors, with a focus on IoT devices. Goal is to advance security analysis tools to automate and assist security analysts in performing quick and effective security analysis.
Miscellany
- Personal interests not mentioned
