1 citations · 1 across the 9 of their papers we have counts for
9 papers
Pre-Model Representation Failures in GNN-Based Smart Contract Vulnerability Detection
Birindwa Prisca Hondi, Chinoso Philip Nwishienyi, Charity Wanja Mwaura +2
This paper is a failure analysis of the representation layer underlying GNN-based smart contract vulnerability detectors. These systems convert source code into graphs before any l…
Adversarial Robustness in Smishing Detection: A Comparative Analysis of Adversarial Fragility in Classical vs. Transformer-Based Detection Systems
Denzel Chiuseni, Athanase Bahizire, Silva Hama +1
Smishing detection systems are commonly trained and evaluated on clean, monolingual text. In low-resource settings, however, attackers frequently circumvent these systems through c…
Modeling Failure Dynamics in Time-Constrained Authentication Systems: Evidence of a Success Cliff in USSD Workflows
Aklile Seyoum Mamo, Amanuel Kebede, Anny Christelle Irakoze +1
Time-constrained interactive systems such as USSD (Unstructured Supplementary Service Data)-based financial services operate under strict session limits and sequential user interac…
Safe2Hail: A Forensic-Driven Post-Trip Tracking Framework for Ride-Hailing Safety in Africa
Alvina Minja, Robert Maina, Mahmud Oloyede +1
Ride-hailing mobile apps have become an essential feature in the mobility ecosystem in Africa, offering much safer and much more affordable rides. Although user bases have increase…
Evaluating Endpoint Detection Robustness Against Genetic Algorithm Driven Code Transformations
Alvina Rwaichi Minja, Jema David Ndibwile
Post-compromise test variants are widely used in controlled security evaluation and endpoint robustness benchmarking. However, modern Antivirus (AV) and Endpoint Detection and Resp…
Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks
Ngela Landon Ntung, Floride Tuyisenge, Jema David Ndibwile
Face Presentation Attack Detection (PAD) systems constitute a critical security layer in biometric authentication; however, existing approaches exhibit systematic performance dispa…
Using Machine Learning to Enhance the Detection of Obfuscated Abusive Words in Swahili: A Focus on Child Safety
Phyllis Nabangi, Abdul-Jalil Zakaria, Jema David Ndibwile
The rise of digital technology has dramatically increased the potential for cyberbullying and online abuse, necessitating enhanced measures for detection and prevention, especially…
Beyond SSO: Mobile Money Authentication for Inclusive e-Government in Sub-Saharan Africa
Oluwole Adewusi, Wallace S. Msagusa, Jean Pierre Imanirumva +2
The rapid adoption of Mobile Money Services (MMS) in Sub-Saharan Africa (SSA) offers a viable path to improve e-Government service accessibility in the face of persistent low inter…
Artificial Intelligence-Based Smart Grid Vulnerabilities and Potential Solutions for Fake-Normal Attacks: A Short Review
J. D. Ndibwile
Smart grid systems are critical to the power industry, however their sophisticated architectural design and operations expose them to a number of cybersecurity threats, such as dat…