22 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.CR2025
Enhancing Security in LLM Applications: A Performance Evaluation of Early Detection Systems
Valerii Gakh, Hayretdin Bahsi
Prompt injection threatens novel applications that emerge from adapting LLMs for various user tasks. The newly developed LLM-based software applications become more ubiquitous and…
cs.CR2025★ 22 cited
Evaluating explainable AI for deep learning-based network intrusion detection system alert classification
Rajesh Kalakoti, Risto Vaarandi, Hayretdin Bahsi +1
A Network Intrusion Detection System (NIDS) monitors networks for cyber attacks and other unwanted activities. However, NIDS solutions often generate an overwhelming number of aler…
cs.CR2025
To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
Zhilong Wang, Neha Nagaraja, Lan Zhang +3
LLM agents are widely used as agents for customer support, content generation, and code assistance. However, they are vulnerable to prompt injection attacks, where adversarial inpu…