Application of Large Language Models (LLMs) for Software Vulnerability Detection
Engineering Science Reference (Verlag)
979-8-3693-9312-3 (ISBN)
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Marwan Omar is an accomplished cybersecurity expert and academic, specializing in the intersection of artificial intelligence (AI) and cybersecurity. He currently serves as an Associate Professor of Cybersecurity and AI at the Illinois Institute of Technology, where he leads cutting-edge research on AI security, focusing on the detection and mitigation of advanced cyber threats. With over a decade of experience in the field, Dr. Omar has made significant contributions to the understanding and development of security frameworks for AI systems, particularly in the detection of adversarial inputs, data poisoning, and backdoor attacks. His research has been widely recognized for its innovative application of machine learning techniques to enhance the security and robustness of AI models. Dr. Omar holds multiple advanced degrees, including a PhD in Cybersecurity and a PhD in AI, and has earned numerous industry certifications such as Certified Ethical Hacker (CEH) and SANS Certified Smartphone Forensics Analyst (GASF). His extensive publication record includes books, peer-reviewed journal articles, and conference papers that explore the integration of AI in cybersecurity, with a particular focus on large language models (LLMs) and generalized AI (Gen AI). His recent work has pioneered the use of pruning techniques and anomaly detection to identify and neutralize hidden threats within AI models, establishing new benchmarks for security in AI research. Dr. Omar’s ongoing research efforts continue to push the boundaries of how AI can be both a tool and a target in the cybersecurity landscape. In addition to his academic pursuits, Dr. Omar is actively involved in industry collaborations and has contributed to numerous high-profile projects aimed at securing AI-driven technologies. His expertise has positioned him as a sought-after advisor and thought leader in the cybersecurity community. Hewa Majeed Zangana is an Assistant Professor currently affiliated with Duhok Polytechnic University (DPU) in Iraq. He holds a Doctorate in Philosophy (PhD) degree in ITM, which he is currently pursuing at DPU. He has also held administrative positions such as Curriculum Division Director - Presidency of DPU, Head of the Computer Science Department at Nawroz University, and Acting Dean of the College of Computer and IT at Nawroz University. Hewa Majeed Zangana's research interests span a wide range of topics in computer science, including network systems, information security, mobile communication, data communication, and intelligent systems. He has published extensively in peer-reviewed journals. In addition to his research contributions, Hewa Majeed Zangana has been actively involved in editorial roles. He has also been a member of various scientific committees and administrative bodies at Nawroz University.
| Erscheinungsdatum | 06.11.2024 |
|---|---|
| Verlagsort | Hershey, PA |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-13 | 979-8-3693-9312-3 / 9798369393123 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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