36 citations · 59 across the 12 of their papers we have counts for
12 papers
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…
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…
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…
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…
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism
Sohan Salahuddin Mugdho, Hafiz Imtiaz
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users. Anonymizing user data is often not sufficient for prese…
Human Activity Recognition from Wi-Fi CSI Data Using Principal Component-Based Wavelet CNN
Ishtiaque Ahmed Showmik, Tahsina Farah Sanam, Hafiz Imtiaz
Human Activity Recognition (HAR) is an emerging technology with several applications in surveillance, security, and healthcare sectors. Noninvasive HAR systems based on Wi-Fi Chann…
Privacy-preserving Non-negative Matrix Factorization with Outliers
Swapnil Saha, Hafiz Imtiaz
Non-negative matrix factorization is a popular unsupervised machine learning algorithm for extracting meaningful features from data which are inherently non-negative. However, such…
Improved Differentially Private Decentralized Source Separation for fMRI Data
Hafiz Imtiaz, Jafar Mohammadi, Rogers Silva +4
Blind source separation algorithms such as independent component analysis (ICA) are widely used in the analysis of neuroimaging data. In order to leverage larger sample sizes, diff…
Distributed Differentially Private Computation of Functions with Correlated Noise
Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate
Many applications of machine learning, such as human health research, involve processing private or sensitive information. Privacy concerns may impose significant hurdles to collab…
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
Hafiz Imtiaz, Anand D. Sarwate
In many signal processing and machine learning applications, datasets containing private information are held at different locations, requiring the development of distributed priva…
A Face Recognition Scheme using Wavelet Based Dominant Features
Hafiz Imtiaz, Shaikh Anowarul Fattah
In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently expl…