4 citations · 6 across the 10 of their papers we have counts for
12 papers · 1 filter
Malformer: A Multi-Modal Malware Detector Using Transformers
Samuel Howard, Kshitiz Aryal, Mahmoud Abdelsalam +3
Traditional malware detection systems that rely on a single representation of malware often fail to identify novel threats. These representations of malware binaries, also known as…
VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents
Katherine Swinea, Kshitiz Aryal, Lopamudra Praharaj +1
Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecure default configurations, creating a need for scalable and ada…
Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
Andrew Wheeler, Kshitiz Aryal, Maanak Gupta
Transformer-based malware detection systems operating on graph modalities such as control flow graphs (CFGs) achieve strong performance by modeling structural relationships in prog…
A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypes
Sahaya Jestus Lazer, Kshitiz Aryal, Maanak Gupta +1
Agentic AI marks an important transition from single-step generative models to systems capable of reasoning, planning, acting, and adapting over long-lasting tasks. By integrating…
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…
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…