• Model Extraction and Active Learning 

      Shukla, Aditya
      Machine learning models are increasingly being offered as a service by big companies such as Google, Microsoft and Amazon. They use Machine Learning as a Service (MLaaS) to expose these machine learning models to the ...
    • Model Extraction Defense using Modified Variational Autoencoder 

      Gupta, Yash
      Machine Learning as a Service (MLaaS) exposes machine learning (ML) models that are trained on confidential datasets to users in the form of an Application Programming Interface (API). Since the MLaaS models are deployed ...
    • Novel Neural Architecture for Multi-Hop Question Answering 

      Bhargav, G P Shrivatsa
      Natural language understanding has been one of the key drivers responsible for advancing the eld of AI. To this end, automated Question Answering (QA) has served as an effective way of measuring the language understanding ...
    • Quantum-Safe Identity-Based Signature Scheme in Multivariate Quadratic Setting 

      Dimri, Akansha
      Cryptographic techniques are essential for the security of communication in modern society. Today, nearly all public key cryptographic schemes used in practice are based on the two problems of factoring large integers and ...