Institutional Repository

This Repository has created and designed to collect, preserve and disseminate the scholarly intellectual output of Indraprastha Institute of Information Technology - Delhi (IIIT-Delhi). Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Communities in Repository

Recently Added

  • Identify, inspect and intervene multimodal fake news 
    Singhal, Shivangi; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2023-06)
    Fake news refers to intentionally and verifiably false stories created to manipulate people’s perceptions of reality. Fake news is destructive and has been used to influence voting decisions and spread hatred against ...
  • On the distribution and applications of Ramanujan sums 
    Goel, Shivani; Chaubey, Sneha (Advisor) (IIIT-Delhi, 2024-05)
    While studying the trigonometric series expansion of certain arithmetic functions, Ramanujan, in 1918, defined a sum of the nth power of the primitive qth roots of unity and denoted it as cq(n). These sums are now known ...
  • Modeling online user interactions and their offline effects on socio-technical platforms 
    Hitkul; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2024-03)
    Do online interactions trigger reactions back in the offline world? How can these reactions be detected and quantified? Specifically, what insights can be extracted for users, platform owners, and policymakers to minimize ...
  • Overcoming biases and injuries : tackling challenges in facial analytic systems 
    Majumdar, Puspita; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2024-06)
    The remarkable achievements and the robust performance of deep models have been instrumental in the evolution of facial analysis systems. Employed across a wide array of applications, these systems assist in making crucial ...
  • Language models for temporal decisions in health datasets 
    Pal, Ridam; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-07)
    Healthcare has been undergoing a data-driven transformation, further accelerated by the COVID-19 pandemic. A significant amount of healthcare data is unstructured and underutilized. The success of Large Language Models ...

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