40 citations · 50 across the 5 of their papers we have counts for
5 papers
Federated Learning Framework via Distributed Mutual Learning
Yash Gupta
Federated Learning often relies on sharing full or partial model weights, which can burden network bandwidth and raise privacy risks. We present a loss-based alternative using dist…
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…
Creating and Implementing a Smart Speaker
Sanskar Jethi, Avinash Kumar Choudhary, Yash Gupta +1
We have seen significant advancements in Artificial Intelligence and Machine Learning in the 21st century. It has enabled a new technology where we can have a human-like conversati…
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…
Effective Handling of Urgent Jobs - Speed Up Scheduling for Computing Applications
Yash Gupta, Kamalakar Karlapalem
A queue is required when a service provider is not able to handle jobs arriving over the time. In a highly flexible and dynamic environment, some jobs might demand for faster execu…