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20192024
most citedFedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation

8 citations · 28 across the 20 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.IR2023

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers

Nicholas Solovyev, Ryan Barron, Manish Bhattarai +3

Highly specific datasets of scientific literature are important for both research and education. However, it is difficult to build such datasets at scale. A common approach is to b…

cs.CR2023

Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection

Maksim E. Eren, Manish Bhattarai, Robert J. Joyce +3

Identification of the family to which a malware specimen belongs is essential in understanding the behavior of the malware and developing mitigation strategies. Solutions proposed…

cs.CR2023

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware

Maksim E. Eren, Manish Bhattarai, Kim Rasmussen +2

Malware is one of the most dangerous and costly cyber threats to national security and a crucial factor in modern cyber-space. However, the adoption of machine learning (ML) based…

cs.LG2023

Robust Adversarial Defense by Tensor Factorization

Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron +3

As machine learning techniques become increasingly prevalent in data analysis, the threat of adversarial attacks has surged, necessitating robust defense mechanisms. Among these de…

math.NA2023

Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution

Phil Romero, Manish Bhattarai, Christian F. A. Negre +2

Matrix diagonalization is at the cornerstone of numerous fields of scientific computing. Diagonalizing a matrix to solve an eigenvalue problem requires a sequential path of iterati…