43 citations · 46 across the 15 of their papers we have counts for
4 papers · 1 filter
RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
Seif Ikbarieh, Kshitiz Aryal, Maanak Gupta
The rapid expansion of the Internet of Things (IoT) is reshaping communication and operational practices across industries, but it also broadens the attack surface and increases su…
LLM-based Multi-class Attack Analysis and Mitigation Framework in IoT/IIoT Networks
Seif Ikbarieh, Maanak Gupta, Elmahedi Mahalal
The Internet of Things has expanded rapidly, transforming communication and operations across industries but also increasing the attack surface and security breaches. Artificial In…
Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential
Charankumar Akiri, Harrison Simpson, Kshitiz Aryal +2
While the widespread deployment of Large Language Models (LLMs) holds great potential for society, their vulnerabilities to adversarial manipulation and exploitation can pose serio…
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
Pradip Kunwar, Minh N. Vu, Maanak Gupta +2
We propose Tensor-Trained Low-Rank Adaptation Mixture of Experts (TT-LoRA MoE), a novel computational framework integrating Parameter-Efficient Fine-Tuning (PEFT) with sparse MoE r…