21 citations · 31 across the 4 of their papers we have counts for
7 papers
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment
Ashwinkumar Ganesan, Francis Ferraro, Tim Oates
We propose a Bi-Directional Manifold Alignment (BDMA) that learns a non-linear mapping between two manifolds by explicitly training it to be bijective. We demonstrate BDMA by train…
Locality Preserving Loss: Neighbors that Live together, Align together
Ashwinkumar Ganesan, Francis Ferraro, Tim Oates
We present a locality preserving loss (LPL) that improves the alignment between vector space embeddings while separating uncorrelated representations. Given two pretrained embeddin…
Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter
Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan +1
Denial of Service (DoS) attacks are common in on-line and mobile services such as Twitter, Facebook and banking. As the scale and frequency of Distributed Denial of Service (DDoS)…
Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning
Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave +2
Evolving cybersecurity threats are a persistent challenge for systemadministrators and security experts as new malwares are continu-ally released. Attackers may look for vulnerabil…
Cognitive Techniques for Early Detection of Cybersecurity Events
Sandeep Narayanan, Ashwinkumar Ganesan, Karuna Joshi +3
The early detection of cybersecurity events such as attacks is challenging given the constantly evolving threat landscape. Even with advanced monitoring, sophisticated attackers ca…
Fashioning with Networks: Neural Style Transfer to Design Clothes
Prutha Date, Ashwinkumar Ganesan, Tim Oates
Convolutional Neural Networks have been highly successful in performing a host of computer vision tasks such as object recognition, object detection, image segmentation and texture…