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Shantanu Pal

Biographic Data

ID10055458
NAMEShantanu Pal
GIVEN NAMESShantanu
FAMILY NAMEPal
SIGNATUREPAL S
AFFILIATIONSDeakin University
ORCID0000-0002-8784-0154
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Social Equity and Inclusion With Fair Dataset Representation of Diverse Populations in Diffusion Models

    Open Access•Ryan Holland, Saifur Rahman et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Generative artificial intelligence (AI), an advancing frontier, uses machine learning to autonomously create media content, though it faces challenges with bias and fair representation. This research investigates demographic bias within the LAION dataset, specifically focusing on the representation of Indigenous Australians. Large image generative models are typically trained on extensive datasets scraped from the Internet, which often reflect th…

  • Robust Cyber Threat Intelligence Sharing Using Federated Learning for Smart Grids

    Open Access•Saifur Rahman, Shantanu Pal et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Given the escalating diversity, sophistication, and frequency of cyber attacks, it is imperative for critical infrastructure entities, e.g. smart grids, to recognize the inherent risks of operating in isolation. Sharing cyber threat intelligence (CTI) helps them stand together and build a collective cyber defense by knowledge, skills, and experience encompassing information related to identifying and evaluating cyber and physical threats. The pre…

No prominent works on this page.

  • Robust Cyber Threat Intelligence Sharing Using Federated Learning for Smart Grids

    Open Access•Saifur Rahman, Shantanu Pal et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Given the escalating diversity, sophistication, and frequency of cyber attacks, it is imperative for critical infrastructure entities, e.g. smart grids, to recognize the inherent risks of operating in isolation. Sharing cyber threat intelligence (CTI) helps them stand together and build a collective cyber defense by knowledge, skills, and experience encompassing information related to identifying and evaluating cyber and physical threats. The pre…

  • Social Equity and Inclusion With Fair Dataset Representation of Diverse Populations in Diffusion Models

    Open Access•Ryan Holland, Saifur Rahman et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Generative artificial intelligence (AI), an advancing frontier, uses machine learning to autonomously create media content, though it faces challenges with bias and fair representation. This research investigates demographic bias within the LAION dataset, specifically focusing on the representation of Indigenous Australians. Large image generative models are typically trained on extensive datasets scraped from the Internet, which often reflect th…

Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Computer security (1 work) · Diffusion (1 work) · Electrical engineering (1 work) · Engineering (1 work) · Ethics and Social Impacts of AI (1 work) · Privacy-Preserving Technologies in Data (1 work) · Smart grid (1 work)

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