56 citations · 85 across the 14 of their papers we have counts for
14 papers
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Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecure default configurations, creating a need for scalable and ada…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…
Explainability-Informed Targeted Malware Misclassification
Quincy Card, Kshitiz Aryal, Maanak Gupta
In recent years, there has been a surge in malware attacks across critical infrastructures, requiring further research and development of appropriate response and remediation strat…
Explainability Guided Adversarial Evasion Attacks on Malware Detectors
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam +1
As the focus on security of Artificial Intelligence (AI) is becoming paramount, research on crafting and inserting optimal adversarial perturbations has become increasingly critica…
SoK: Leveraging Transformers for Malware Analysis
Pradip Kunwar, Kshitiz Aryal, Maanak Gupta +2
The introduction of transformers has been an important breakthrough for AI research and application as transformers are the foundation behind Generative AI. A promising application…
Explainable Deep Learning Models for Dynamic and Online Malware Classification
Quincy Card, Daniel Simpson, Kshitiz Aryal +2
In recent years, there has been a significant surge in malware attacks, necessitating more advanced preventive measures and remedial strategies. While several successful AI-based m…
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam +1
Windows malware is predominantly available in cyberspace and is a prime target for deliberate adversarial evasion attacks. Although researchers have investigated the adversarial ma…
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
Maanak Gupta, CharanKumar Akiri, Kshitiz Aryal +2
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google…
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam
With the increase in machine learning (ML) applications in different domains, incentives for deceiving these models have reached more than ever. As data is the core backbone of ML…
A Survey on Adversarial Attacks for Malware Analysis
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam
Machine learning has witnessed tremendous growth in its adoption and advancement in the last decade. The evolution of machine learning from traditional algorithms to modern deep le…