IIIT-Delhi Institutional Repository

Browsing BTech Projects by Author "Kumaraguru, Ponnurangam (Advisor)"

Browsing BTech Projects by Author "Kumaraguru, Ponnurangam (Advisor)"

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  • Analysing hyperbolic representations for use in recommendations in social networks 
    Kalra, Pankil; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-05)
    Recommender systems play an important role in helping online users find relevant information by suggesting content that can be of potential interest to them. Different Social networks have indicated hierarchical structures ...
  • Analysing social media for COVID positive cases 
    Singhal, Sonali; Pandey, Tanisha; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2020-05)
    The COVID19 pandemic, a public health emergency which broke out globally in December 2019 and is still going on, has put us all into an unprecedented situation where there are strict limitations on physical social interaction ...
  • Analysis of social media movements 
    Kumar, Vishwesh; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-12)
    Political campaigns recently use social media networks as an important environment to gain visibility for causes such as policy disagreement. Users often show divided opinions on the enacted policy, which sparks intense ...
  • Analyzing images on social media for (not) using mask 
    Singh, Asmit Kumar; Mehan, Paras; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    The adoption of non-pharmaceutical interventions and their surveillance is critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions in terms of adoption ...
  • Blockchain and decentralized applications 
    Bajaj, Agam Singh; Tyagi, Lakshit; Arora, Paarth; Vajpayee, Pankaj (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2018-04-18)
    Bitcoin is a virtual currency that emerged in the aftermath of the financial crisis. It allows people to bypass banks and traditional payment processes to pay for goods and services. The technology on which bitcoin works ...
  • Bot analysis on social media 
    Caur, Samiya; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    Ever since the 2014 Lok Sabha election, social media platforms such as Twitter, Facebook etc.have become a vital part of election campaigns in India with political parties investing heavily in the expansion of their ...
  • Characterizing poor quality context specific content on online social media 
    Grover, Karan; Kumaraguru, Ponnurangam (Advisor) (2017-04-18)
    In social psychology, a rumor is defined as a story or statement in general circulation without confirmation or certainty to facts. Rumors are known to arise in the context of ambiguity, when the meaning of a situation is ...
  • Collective aspects of privacy in online social networks 
    Goel, Mansi; Garcia, David (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-11-16)
    In online social networks, users may choose to keep a lot of important information in the private domain. Users may choose to hide their location, gender, interests, and affiliations. With usage of social networks and ...
  • Data quality and privacy action 
    Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Detecting early signs of depression using user-generated data from social media 
    Suhavi; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2020-05-29)
    Social media has now become the most popular medium for self-expression and community building. More and more people are turning to it to express, write, vent or just be while being comfortable doing so because it’s an ...
  • Emerging cross-platform scam campaigns abusing phone numbers on online social networks 
    Parmar, Lohitaksh; Kumaraguru, Ponnurangam (Advisor); Ahmed, Mustaque (Advisor); Gupta, Payas (Advisor) (IIIT-Delhi, 2017-04-18)
    The main aim of a scam campaign is to get the maximum monetary benefit with maximum reach and least infrastructure. This makes Online Social Networks (OSNs) such as Facebook and Twitter prime targets for such campaigns. ...
  • Emoji analysis: a study on the use of skin tone modifiers on social media 
    Bansal, Tanmay; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    In 2015, Unicode introduced five different skin tone modifiers, that could be applied to the existing emojis that denoted humans. In this project, we analyze how people pose certain personalities using emoji skin colour ...
  • Fraud detection in the google playstore and apple appstore 
    Jain, Ayushi; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2022-05)
    Millions of mobile apps are downloaded and used by users throughout the world. For many developers, these apps are the source of their income. Given that there is monetary aspect attached to applications, this gives rise ...
  • Hardening deep neural networks via adversarial model cascades 
    Suri, Anshuman; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2018-04-18)
    Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples - malicious inputs which are crafted by the adversary to induce the trained model to produce erroneous outputs. This vulnerability has ...
  • Hate speech detection in social media 
    Patel, Rhythm; Agrawal, Mohnish; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2022-05)
    Hate speech has been defined as the act of offending, insulting, or threatening individuals or a group of people based on their religion, race, caste, orientation, gender, or belongingness to a specific stereotyped community ...
  • How selfies become killfies 
    Bhatnagar, Juhi; Kumaraguru, Ponnurangam (Advisor); Venkatraman, Shriram (Advisor) (2017-04-18)
    This study examines selfie as a human-driven action and investigates how selfies can turn into killfies by examining the user behavior associated with selfies. Three data collection techniques are discussed - interviews, ...
  • Information fusion in location-based services 
    Arya, Shreyash; Kumaraguru, Ponnurangam (Advisor) (IIITD-Delhi, 2018-07-08)
    Location-Based Social Networks(LBSNs) have emerged as major sources of information about users as well as locations. Different LBSNs have different ratings and reviews for a particular location and each claims to have ...
  • #KillFie: understanding dangerous selfi es 
    Nanda, Vedant; Kumaraguru, Ponnurangam (Advisor) (IIITD-Delhi, 2018-04-18)
    Sel es have become a prominent medium for self-portrayal on social media. Unfortunately, certain social media users go to extreme lengths to click selfies , which puts their lives at risk. Two hundred and thirty-two ...
  • Me, myself and my killfie: characterizing and preventing selfie deaths 
    Vachher, Mayank; Kumaraguru, Ponnurangam (Advisor) (2016-11-16)
    Over the past couple of years, clicking and posting selfies has become a popular trend. However, since March 2014, 127 people have died and many have been injured while trying to click a selfie. Researchers have studied ...
  • NFTs: deciphering the emerging market 
    Yadav, Rupanshu; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    NFT or Non-Fungible Token is a token that certifies a digital asset to be unique. A wide range of assets including, digital art, music, tweets, memes, are being sold as NFTs. NFT-related content has been widely shared on ...

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