40 citations · 99 across the 18 of their papers we have counts for
19 papers
CodeQueries: A Dataset of Semantic Queries over Code
Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj +3
Developers often have questions about semantic aspects of code they are working on, e.g., "Is there a class whose parent classes declare a conflicting attribute?". Answering them r…
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
Vijaikumar M, Deepesh Hada, Shirish Shevade
The personalized list continuation (PLC) task is to curate the next items to user-generated lists (ordered sequence of items) in a personalized way. The main challenge in this task…
Stateful Detection of Model Extraction Attacks
Soham Pal, Yash Gupta, Aditya Kanade +1
Machine-Learning-as-a-Service providers expose machine learning (ML) models through application programming interfaces (APIs) to developers. Recent work has shown that attackers ca…
Neural Cross-Domain Collaborative Filtering with Shared Entities
Vijaikumar M, Shirish Shevade, M N Murty
Cross-Domain Collaborative Filtering (CDCF) provides a way to alleviate data sparsity and cold-start problems present in recommendation systems by exploiting the knowledge from rel…
Deep Learning for Bug-Localization in Student Programs
Rahul Gupta, Aditya Kanade, Shirish Shevade
Providing feedback is an integral part of teaching. Most open online courses on programming make use of automated grading systems to support programming assignments and give real-t…
A framework for the extraction of Deep Neural Networks by leveraging public data
Soham Pal, Yash Gupta, Aditya Shukla +3
Machine learning models trained on confidential datasets are increasingly being deployed for profit. Machine Learning as a Service (MLaaS) has made such models easily accessible to…