Year-2023

 

Recent Submissions

  • Implementing ChaCha-based crppto primitives on programmable smartNICs 
    Kottur, Shaguftha Zuveria; Shah, Rinku (Advisor); Tammana, Praveen (Advisor); Kadiyala, Krishna (Advisor) (IIIT-Delhi, 2023-05)
    Control and management plane applications such as serverless function orchestration and 4G/5G control plane functions are offloaded to smartNICs to reduce communication and processing latency. Such applications involve ...
  • Enabling rapid prototyping of tangible augmented reality experiences 
    Monteiro, Kyzyl John; Parnami, Aman (Advisor) (IIIT-Delhi, 2023-05)
    We introduce Teachable Reality, an augmented reality (AR) prototyping tool for creating interactive tangible AR applications with arbitrary everyday objects. Teachable Reality leverages vision-based interactive machine ...
  • Computational creativity: artificial intelligence models for the generation and classification of affective artwork and their human evaluation 
    Raj, Yash; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-06)
    Visual artwork is among the most salient forms of human expression. From prehistoric cave paintings to Renaissance and modern art, paintings have been a powerful medium for expressing emotions. With the advent of computing ...
  • 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 ...
  • Policy document summarization with controlled abstractive techniques 
    Fazili, Sehban; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-05)
    Privacy policies are often lengthy and complex, hindering individual’s ability to make informed decisions about their data privacy. Abstractive summarization techniques can improve accessibility and transparency, but there ...
  • Harmful meme diffusion 
    Vigneshwar, Palani; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2023-05)
    With the widespread use of social media platforms, virality has become a fascinating subject for researchers. Content-based research emphasizes the role of content characteristics in predicting virality, such as the type ...
  • Multimodal sarcasm explanation and target generation 
    S, Giridhar; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-05)
    Sarcasm is a nuanced and context-dependent communication that poses a significant challenge for natural language processing (NLP) systems. This study proposes a novel approach to improving sarcasm understanding by generating ...