5 papers
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing
Utsab Saha, Tanvir Muntakim Tonoy, Hafiz Imtiaz
In recent years, the growth of data across various sectors, including healthcare, security, finance, and education, has created significant opportunities for analysis and informed…
CAE-Net: Generalized Deepfake Image Detection using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features
Anindya Bhattacharjee, Kaidul Islam, Kafi Anan +4
The spread of deepfakes poses significant security concerns, demanding reliable detection methods. However, diverse generation techniques and class imbalance in datasets create cha…
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
Utsab Saha, Tanvir Muntakim Tonoy, Hafiz Imtiaz
In this work, we explore differentially private synthetic data generation in a decentralized-data setting by building on the recently proposed Differentially Private Class-Centric…
Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation
Chinmoy Biswas, Nafis Faisal, Vivek Chowdhury +5
Sparsity, defined as the presence of missing or zero values in a dataset, often poses a major challenge while operating on real-life datasets. Sparsity in features or target data o…
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising
Md. Touhidul Islam, Md. Abtahi M. Chowdhury, Sumaiya Salekin +3
In contrast to non-medical image denoising, where enhancing image clarity is the primary goal, medical image denoising warrants preservation of crucial features without introductio…