21 citations · 22 across the 5 of their papers we have counts for
5 papers
Augmenting Parameter-Efficient Pre-trained Language Models with Large Language Models
Saurabh Anand, Shubham Malaviya, Manish Shukla +1
Training AI models in cybersecurity with help of vast datasets offers significant opportunities to mimic real-world behaviors effectively. However, challenges like data drift and s…
Gradient-based Data Subversion Attack Against Binary Classifiers
Rosni K Vasu, Sanjay Seetharaman, Shubham Malaviya +2
Machine learning based data-driven technologies have shown impressive performances in a variety of application domains. Most enterprises use data from multiple sources to provide q…
Influence Based Defense Against Data Poisoning Attacks in Online Learning
Sanjay Seetharaman, Shubham Malaviya, Rosni KV +2
Data poisoning is a type of adversarial attack on training data where an attacker manipulates a fraction of data to degrade the performance of machine learning model. Therefore, ap…
A Note on Cryptographic Algorithms for Private Data Analysis in Contact Tracing Applications
Rajan M A, Manish Shukla, Sachin Lodha
Contact tracing is an important measure to counter the COVID-19 pandemic. In the early phase, many countries employed manual contact tracing to contain the rate of disease spread,…
Privacy Guidelines for Contact Tracing Applications
Manish Shukla, Rajan M A, Sachin Lodha +2
Contact tracing is a very powerful method to implement and enforce social distancing to avoid spreading of infectious diseases. The traditional approach of contact tracing is time…