107 citations · 316 across the 21 of their papers we have counts for
6 papers · 1 filter
An Investigation on Learning, Polluting, and Unlearning the Spam Emails for Lifelong Learning
Nishchal Parne, Kyathi Puppaala, Nithish Bhupathi +1
Machine unlearning for security is studied in this context. Several spam email detection methods exist, each of which employs a different algorithm to detect undesired spam emails.…
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom, Ripon Patgiri
In the last decade or so, we have witnessed deep learning reinvigorating the machine learning field. It has solved many problems in the domains of computer vision, speech recogniti…
A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications
Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom +1
Edge technology aims to bring Cloud resources (specifically, the compute, storage, and network) to the closed proximity of the Edge devices, i.e., smart devices where the data are…
countBF: A General-purpose High Accuracy and Space Efficient Counting Bloom Filter
Sabuzima Nayak, Ripon Patgiri
Bloom Filter is a probabilistic data structure for the membership query, and it has been intensely experimented in various fields to reduce memory consumption and enhance a system'…
RobustBF: A High Accuracy and Memory Efficient 2D Bloom Filter
Sabuzima Nayak, Ripon Patgiri
Bloom Filter is an important probabilistic data structure to reduce memory consumption for membership filters. It is applied in diverse domains such as Computer Networking, Network…
DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning
Ripon Patgiri, Anupam Biswas, Sabuzima Nayak
Malicious URL detection is an emerging research area due to continuous modernization of various systems, for instance, Edge Computing. In this article, we present a novel malicious…