1 citations · 1 across the 3 of their papers we have counts for
3 papers
PaRT: Parallel Learning Towards Robust and Transparent AI
Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan +4
This paper takes a parallel learning approach for robust and transparent AI. A deep neural network is trained in parallel on multiple tasks, where each task is trained only on a su…
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis
Mahsa Paknezhad, Cuong Phuc Ngo, Amadeus Aristo Winarto +4
Despite many proposed algorithms to provide robustness to deep learning (DL) models, DL models remain susceptible to adversarial attacks. We hypothesize that the adversarial vulner…
Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts
Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury +11
Motivation: High resolution 2D whole slide imaging provides rich information about the tissue structure. This information can be a lot richer if these 2D images can be stacked into…