12 citations · 29 across the 10 of their papers we have counts for
10 papers
Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective
Jean Marie Tshimula, Xavier Ndona, D'Jeff K. Nkashama +4
Jailbreak prompts pose a significant threat in AI and cybersecurity, as they are crafted to bypass ethical safeguards in large language models, potentially enabling misuse by cyber…
Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection
Jordan F. Masakuna, DJeff Kanda Nkashama, Arian Soltani +3
Training data sets intended for unsupervised anomaly detection, typically presumed to be anomaly-free, often contain anomalies (or contamination), a challenge that significantly un…
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
Jean Marie Tshimula, Mitterrand Kalengayi, Dieumerci Makenga +28
Artificial Intelligence (AI) is revolutionizing various fields, including public health surveillance. In Africa, where health systems frequently encounter challenges such as limite…
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
D'Jeff K. Nkashama, Jordan Masakuna Félicien, Arian Soltani +4
Deep learning (DL) has emerged as a crucial tool in network anomaly detection (NAD) for cybersecurity. While DL models for anomaly detection excel at extracting features and learni…
Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features
Jean Marie Tshimula, D'Jeff K. Nkashama, Jean Tshibangu Muabila +21
The increasing sophistication of cyber threats necessitates innovative approaches to cybersecurity. In this paper, we explore the potential of psychological profiling techniques, p…
A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs
Christian N. Mayemba, D'Jeff K. Nkashama, Jean Marie Tshimula +12
This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns…
Characterizing Financial Market Coverage using Artificial Intelligence
Jean Marie Tshimula, D'Jeff K. Nkashama, Patrick Owusu +7
This paper scrutinizes a database of over 4900 YouTube videos to characterize financial market coverage. Financial market coverage generates a large number of videos. Therefore, wa…
Redesigning Electronic Health Record Systems to Support Developing Countries
Jean Marie Tshimula, D'Jeff K. Nkashama, Kalonji Kalala +5
Electronic Health Record (EHR) has become an essential tool in the healthcare ecosystem, providing authorized clinicians with patients' health-related information for better treatm…
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
D'Jeff Kanda Nkashama, Arian Soltani, Jean-Charles Verdier +3
Recently, advances in deep learning have been observed in various fields, including computer vision, natural language processing, and cybersecurity. Machine learning (ML) has demon…
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
Maxime Alvarez, Jean-Charles Verdier, D'Jeff K. Nkashama +3
Anomaly detection has many applications ranging from bank-fraud detection and cyber-threat detection to equipment maintenance and health monitoring. However, choosing a suitable al…