11 papers
When Prompts Control Robots: Prompt Injection Attacks in Multi-Agent Robotic Systems
Neha Nagaraja, Amisha Bagari, Hayretdin Bahsi
Large language models are increasingly integrated into autonomous robotic systems for task planning and control, but this integration exposes them to prompt injection attacks that…
From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
Neha Nagaraja, Hayretdin Bahsi, Carlo R. da Cunha
As large language models are integrated into autonomous robotic systems for task planning and control, compromised inputs or unsafe model outputs can propagate through the planning…
Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape
Muaan Ur Rehman, Hayretdin Bahsi, Rajesh Kalakoti
The expansion of Internet of Things (IoT) devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning ba…
Where Do LLM-based Systems Break? A System-Level Security Framework for Risk Assessment and Treatment
Neha Nagaraja, Hayretdin Bahsi
Large Language Models (LLMs) are increasingly integrated into safety-critical workflows, yet existing security analyses remain fragmented and often isolate model behavior from the…
Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study
Neha Nagaraja, Hayretdin Bahsi
While incorporating LLMs into systems offers significant benefits in critical application areas such as healthcare, new security challenges emerge due to the potential cyber kill c…
Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning
Xuhui Dou, Hayretdin Bahsi, Alejandro Guerra-Manzanares
Recent work applies Large Language Models (LLMs) to source-code vulnerability detection, but most evaluations still rely on random train-test splits that ignore time and overestima…