4 citations · 10 across the 5 of their papers we have counts for
5 papers
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution
Zhixin Pan, Prabhat Mishra
Due to cost and time-to-market constraints, many industries outsource the training process of machine learning models (ML) to third-party cloud service providers, popularly known a…
Fast Approximate Spectral Normalization for Robust Deep Neural Networks
Zhixin Pan, Prabhat Mishra
Deep neural networks (DNNs) play an important role in machine learning due to its outstanding performance compared to other alternatives. However, DNNs are not suitable for safety-…
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
Zhixin Pan, Prabhat Mishra
Machine learning (ML) is successful in achieving human-level performance in various fields. However, it lacks the ability to explain an outcome due to its black-box nature. While e…
Data Criticality in Multi-Threaded Applications: An Insight for Many-Core Systems
Abhijit Das, John Jose, Prabhat Mishra
Multi-threaded applications are capable of exploiting the full potential of many-core systems. However, Network-on-Chip (NoC) based inter-core communication in many-core systems is…
System-on-Chip Security Assertions
Yangdi Lyu, Prabhat Mishra
Assertions are widely used for functional validation as well as coverage analysis for both software and hardware designs. Assertions enable runtime error detection as well as faste…