Kwame Opuni-Boachie Obour Agyekum
2 papers · Latest:
Cryptography & Security
Robustness Analysis of Machine Learning Models for IoT Intrusion Detection Under Data Poisoning Attacks
This paper analyzes the robustness of ML models for IoT intrusion detection against data poisoning attacks, finding significant degradation in some models.
2604.14444
Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads
This study explores seven tactics using local models to reduce cloud LLM token usage on coding-agent workloads, achieving significant savings.
2604.12301
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