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  • Fair counterfactual prediction 
    Choudhary, Simran; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    This research explores the evolving landscape of Explainable Artificial Intelligence (XAI), with a specific focus on counterfactual explanations and their role in ensuring fairness and reducing bias in AI decision-making. ...
  • Fairness in entity matching 
    Agrawal, Sankalp; Rawal, Jay; Mohania, Mukesh (Advisor); Padmanabhan, Deepak (Advisor) (IIIT- Delhi, 2021-05)
    Entity matching (EM) has been one of the long-standing challenges in databases domain. Tra- ditionally, the approaches for EM focuses on developing matching algorithms and works on pairwise similarity between attributes. ...
  • Fairness in machine learning 
    Budhija, Kuber; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-01)
    In a world where machine learning and AI play an increasing role in decision-making across various sectors, concerns about fairness have emerged. This report delves into the journey of understanding fairness in machine ...
  • Fake news detection using repositories 
    Gupta, Gavish; Singh, Shrey Kumar; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    A rapid growth in the amount of fake news on social media is a very serious concern in our society. Fake news are usually created by making changes to text, images, audio, and videos. To bust these fake news, there are ...
  • Fake reviewer group detection 
    Dhawan, Sarthika; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2019-04-15)
    Online reviews play a crucial role in deciding the quality before purchasing any product. Unfortunately, scammers often take advantage of online review forums by writing fraud reviews to promote/demote certain products. ...
  • Feature engineering for low dimensional representation of genes’ expression and pathological activities across diverse human tissues 
    Rai, Priyadarshini; Sengupta, Debarka (Advisor); Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-10)
    The advent of tissue and single cell based transcriptomic profiling technologies has allowed precise characterization of tissue specific gene activities in the context of development and disease. Human cells express about ...
  • Federated averaging in noisy asynchronous settings 
    Fatima, Zubaida; Jamal, Yusuf; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-12-07)
    This research report investigates the robustness of Federated Learning (FL) by understanding and examining the performance of Federated Averaging (FedAvg) and Federated Proximal (Fed- Prox), along with the study of fading ...
  • Federated learning for commercial image sources 
    Jain, Shreyansh; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2023-05)
    With the growing awareness regarding user privacy and the demand for transparency, traditional distributed machine learning algorithms are becoming taboo that uses the user’s data without any restriction or privacy. The ...
  • Federated learning in wireless networks 
    Mehra, Arjun; Muttepawar, Varun; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-28)
    Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...
  • Few quantum cryptanalysis techniques 
    Saha, Sanchita; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2021-05)
    Quantum algorithms like Shor’s and Grover’s algorithms have proven to break several cryptographic schemes theoretically. Shor’s algorithm, which can factor numbers exponentially faster than classical computers, can break ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Bharti, Moh; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • Finding influential people from a historical news repository 
    Gupta, Aayushee; Dutta, Haimonti (Advisor) (IIIT Delhi, 2014-09-05)
    Historical newspaper archives provide a wealth of information. They are of particular interest to genealogists, historians and scholars for People Search. In this thesis, we design a People Gazetteer from the noisy OCR ...
  • Finding optimal locations for taxi stands on city map 
    Mittal, Yesha; Naik, Vinayak (Advisor); Gunturi, Venkata M. Viswanath (Advisor) (2016-09-13)
    We present an algorithm which suggests suitable locations for taxi stands on a city map. This is done using pickup locations information gathered from GPS devices installed on taxis. We aim at finding locations where taxi ...
  • Finding textual description for paths in knowledge graphs 
    Agrawal, Dewangee; Kumar, Suraj Prathik; Bhatia, Sumit (Advisor); Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2019-11-15)
    We address the problem of finding a textual summary of facts within a path in a knowledge graph.Knowledge graphs are increasingly used in search engines and store data in the form of a Semantic Web structure making ...
  • Finding top-k influential set in directed graphs 
    Sahu, Pankaj; Goyal, Vikram (Advisor) (IIIT Delhi, 2014-09-12)
    A RkNN (Reverse k Nearest Neighbor) set of a query q is known as the influence set of q that contains the top k influential points. This query has got a considerable amount of attention due to its importance in various ...
  • Finding unique pattern in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically associated ...
  • Finding unique patterns in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Background: Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically ...
  • Fingerphoto authentication in an unconstrained environment 
    Chopra, Shaan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor); Malhotra, Aakarsh (Advisor) (IIITD-Delhi, 2019-01-22)
    Biometrics based user authentication is rather popular in mobile devices using face and fingerprints as the primary modalities. Fingerphoto (an image of a person’s finger captured using an inbuilt smartphone camera) based ...
  • Fingerprinting fine-tuned language models in the wild 
    Diwan, Nirav; Chakravorty, Tanmoy (Advisor) (IIIT- Delhi, 2021-05)
    There are concerns that the ability of language models (LMs) to generate high quality synthetic text can be misused to launch spam, dis-information, or propaganda. Therefore, the re-search community is actively working on ...

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