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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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Adversarial AI in Social Engineering Attacks: Large- Scale Detection and Automated Counter measures
Anil Kumar Pakina
; Deepak Kejriwal
; Tejaskumar Dattatray Pujari
International Journal Science and Technology (IJST)
Vol 4
, No 1
(2025)
Social engineering attacks using AI-generated deepfake information leverage rare cybersecurity threat hunting. Conventional phishing detection and fraud prevention systems are failing to catch detection errors due to AI-generated social engineering in email, voice, and video content. To mitigate the increased risk of AI-driven social engineering attacks, a new multi-modal AI defense framework, incorporating Transfer Learning through pre-trained language models, deep fake sound analysis, and beha...
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Adversarial AI: Threats, Defenses, and the Role of Explainability in Building Trustworthy Systems
Deepak Kejriwal
; Pujari, Tejaskumar Dattatray
International Journal Science and Technology (IJST)
Vol 2
, No 2
(2023)
Artificial Intelligence has made possible the latest revolutions in the industry. Nevertheless, adversarial AI turns out to be a serious challenge because of its tendency to exploit the vulnerabilities of machine learning models, breach their security, and eventually lead them to fail, mostly unless very few. Adversarial attacks can be evasion and poisoning, model inversion, and so forth; they indeed say how fragile an AI system is and also suggest a proper immediate call for solid defensive str...
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Ethical and Responsible AI in the Age of Adversarial Diffusion Models: Challenges, Risks, and Mitigation Strategies
Tejaskumar Pujari
; Anshul Goel
; Deepak Kejriwal
International Journal Science and Technology (IJST)
Vol 1
, No 3
(2022)
The rapid pace of diffusion models in generative AI has completely restructured many fields, particularly with respect to image synthesis, video generation, and creative data enhancement. However, promising developments remain tinged with ethical questions in view of diffusion-based model dual-use. By misusing these models, purveyors could think up deepfaked videos, unpredictable forms of misinformation, instead outing cyber warfare-related attacks over the Internet, therefore aggravating societ...
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