Nitin Naik

Aston University — United Kingdom

Computer Science · Physical Sciences

27h-index3.2kcitations163works3.92yr avg
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Research Topics

Network Security and Intrusion Detection(46), Advanced Malware Detection Techniques(32), Anomaly Detection Techniques and Applications(14), Information and Cyber Security(12), Internet Traffic Analysis and Secure E-voting(12)

Publications163 total

When Generative AI Prompts Bite Back: Investigating Different Types of Prompt Injection Attacks on Large Language Models (LLMs) and Their Prevention Methods
2025Open Access
Weaponising Generative AI Through Data Poisoning: Analysing Various Data Poisoning Attacks on Large Language Models (LLMs) and Their Countermeasures
2025Open Access
Insecure Output Handling in Large Language Models (LLMs) and Approaches to Enhance Output Security, Including Prevention of LLM-Based Web Application Attacks
2025Open Access
Threat Landscape of Adversarial Attacks on Generative AI and Large Language Models (LLMs): Exploring Different Types of Adversarial Attacks, Associated Risks, and Mitigation Strategies
2025Open Access
Literal Genie Problem of Generative AI: Understanding Cyberattacks on Generative AI Models in the Context of Large Language Models (LLMs) and Their Defence Strategies
2025Open Access
When Generative AI Gets Hacked: A Comprehensive Classification of Cyberattacks on Large Language Models (LLMs) and Their Mitigation Techniques
2025Open Access
Adaptive fuzzy transformation for abnormal breast mass detection
Knowledge-Based Systems·2025
Percutaneous Closure of Saccular Ascending Aortic Pseudoaneurysm With Konar MFO Device
JACC Case Reports·2025Open Access
Leveraging LLMs for Legacy Code Modernization: Evaluation of LLM-Generated Documentation
2025· 3 cited
Impact of Comments on LLM Comprehension of Legacy Code
arXiv (Cornell University)·2025Open Access
TCTAP C-039 Sequential Rotablation for Calcified Tandem RCA Lesions With Guide Extension Assistance
Journal of the American College of Cardiology·2025
Imperfectly Perfect AI Chatbots: Limitations of Generative AI, Large Language Models and Large Multimodal Models
2024· 5 citedOpen Access
ChatGPT Is All You Need: Untangling Its Underlying AI Models, Architecture, Training Procedure, Capabilities, Limitations And Applications
2024· 10 citedOpen Access
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
arXiv (Cornell University)·2024· 3 citedOpen Access
The AI Engine of Creation: Exploring the Capabilities of AI Chatbots based on Generative AI, Large Language Models and Large Multimodal Models
2024· 10 citedOpen Access
Decoder-Only Transformers: The Brains Behind Generative AI, Large Language Models and Large Multimodal Models
2024· 9 citedOpen Access
Large Data Begets Large Data: Studying Large Language Models (LLMs) and Its History, Types, Working, Benefits and Limitations
2024· 10 citedOpen Access
How Can ChatGPT Help Humans Improve Their Capabilities: Understanding the Key Capabilities of ChatGPT
2024· 9 citedOpen Access
Investigating the Benefits and Barriers of Using AI Chatbots in Education
2024· 9 citedOpen Access
Is ChatGPT Effective or Disruptive in Education?
2024· 8 citedOpen Access
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Frequent Co-authors

Paul Jenkins(29), Longzhi Yang(11), Nick Savage(7), Qiang Shen(5), Tossapon Boongoen(5), Ren Diao(4), Jingping Song(4), Kshirasagar Naik(4), Natthakan Iam-On(4), Paul Grace(3), Roger Cooke(3), Noe Elisa(2), Yaochu Jin(2), William E. Dugger(1), Zheming Zuo(1), Jie Li(1), Philip Anderson(1), Fei Chao(1), Chai Quek(1), Jonathan Gillett(1)