Lakshminath Bezbaroa Central Library Digital Repository

Welcome to the Institutional Digital Repository of Lakshminath Bezbaroa Central Library.

  • This digital archive comprised of the Institutes' intellectual output.
  • It manages, preserves & makes available the academic works of faculty and research scholars.
  • It is established to facilitate deposit of digital content of scholarly or heritage nature.
  • Allowing academics & their departments to share & preserve contents in a managed environment.
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Recent Submissions

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Decolonising Design Ethics: Incorporating Indian Ethics of Dharma into Design
(2026) Misra, Suvodeep
UNDER EMBARGO
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Tone, tonogenesis, and tonogenesis in Brajbhasha
(2026) Ojha, Neetesh Kumar
UNDER EMBARGO
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Preserving Inference Privacy in Multi-Agent Systems
(2026) Ghoshal, Puspanjali
A multi-agent system (MAS) involves autonomous agents observing and communicating with a fusion center, which aggregates the data to infer one or more system parameters with the highest possible accuracy. However, besides the system parameters, an honest-but-curious fusion center may infer secondary sensitive information or create a profile of an agent without its consent. These attacks constitute an inference privacy breach. This thesis aims to develop robust and efficient mechanisms to prevent such breaches in MASs. Since any entity other than the data owner can be a potential adversary, preserving inference privacy requires decentralized data sanitization. Moreover, the limited computational resources of autonomous agents necessitate lightweight sanitization mechanisms. As data sanitization inevitably modifies the raw observations and reduces utility, privacy mechanisms must preserve sufficient utility for accurate distributed inference at the fusion center.