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Menampilkan 1–4 dari 4 artikel
AI-Driven Disinformation Campaigns: Detecting Synthetic Propaganda in Encrypted Messaging via Graph Neural Networks
Anil Kumar Pakina
; Ashwin Sharma
; Deepak Kejriwal
International Journal Science and Technology (IJST)
Vol 4
, No 1
(2025)
The rapid rise of generative AI has fueled more sophisticated disinformation campaigns, particularly on encrypted messaging platforms like WhatsApp, Signal, and Telegram. While these platforms protect user privacy through end-to-end encryption, they pose significant challenges to traditional content moderation. Adversaries exploit this privacy to disseminate undetectable synthetic propaganda, influencing public opinion and destabilizing democratic processes without leaving a trace.
This research...
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Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations
Tejaskumar Pujari
; Anshul Goel
; Ashwin Sharma
International Journal Science and Technology (IJST)
Vol 3
, No 3
(2024)
AI is increasingly used in high-stakes fields such as healthcare, finance, education, and public governance, requiring systems that uphold fairness, accountability, transparency, and privacy. This paper highlights the critical role of Supervised Fine-Tuning (SFT) in aligning large AI models with ethical principles and regulatory frameworks like the GDPR and EU AI Act.
The interdisciplinary approach combines regulatory analysis, technical research, and case studies. It proposes integrating privac...
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Ethical and Responsible AI: Governance Frameworks and Policy Implications for Multi-Agent Systems
Tejaskumar Pujari
; Anshul Goel
; Ashwin Sharma
International Journal Science and Technology (IJST)
Vol 3
, No 1
(2024)
Semi-autonomous, augmented- Artificial Intelligence has become increasingly relevant as collective activities are practiced by two or more autonomic entities. MAS and AI at the intersection have fostered very new waves of socioeconomic exchange, necessitating technological governance and, the most challenging element of them all, ethical governance. These autonomous systems involve a network of decision-making agents working in a decentralized environment, entailing very high accountability, tra...
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Enhancing Cybersecurity in Edge AI through Model Distillation and Quantization: A Robust and Efficient Approach
Mangesh Pujari
; Anshul Goel
; Ashwin Sharma
International Journal Science and Technology (IJST)
Vol 1
, No 3
(2022)
The rapid proliferation of Edge AI has introduced significant cybersecurity challenges, including adversarial attacks, model theft, and data privacy concerns. Traditional deep learning models deployed on edge devices often suffer from high computational complexity and memory requirements, making them vulnerable to exploitation. This paper explores the integration of model distillation and quantization techniques to enhance the security and efficiency of Edge AI systems. Model distillation reduce...
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