88 citations · 100 across the 2 of their papers we have counts for
5 papers
Quantifying (Hyper) Parameter Leakage in Machine Learning
Vasisht Duddu, D. Vijay Rao
Machine Learning models, extensively used for various multimedia applications, are offered to users as a blackbox service on the Cloud on a pay-per-query basis. Such blackbox model…
Fault Tolerance of Neural Networks in Adversarial Settings
Vasisht Duddu, N. Rajesh Pillai, D. Vijay Rao +1
Artificial Intelligence systems require a through assessment of different pillars of trust, namely, fairness, interpretability, data and model privacy, reliability (safety) and rob…
Towards Enhancing Fault Tolerance in Neural Networks
Vasisht Duddu, D. Vijay Rao, Valentina E. Balas
Deep Learning Accelerators are prone to faults which manifest in the form of errors in Neural Networks. Fault Tolerance in Neural Networks is crucial in real-time safety critical a…
Stealing Neural Networks via Timing Side Channels
Vasisht Duddu, Debasis Samanta, D Vijay Rao +1
Deep learning is gaining importance in many applications. However, Neural Networks face several security and privacy threats. This is particularly significant in the scenario where…
Fuzzy Graph Modelling of Anonymous Networks
Vasisht Duddu, Debasis Samanta, D Vijay Rao
Anonymous networks have enabled secure and anonymous communication between the users and service providers while maintaining their anonymity and privacy. The hidden services in the…