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Found 10 papers, 3 papers with code
Hybrid Deepfake Image Detection: A Comprehensive Dataset-Driven Approach Integrating Convolutional and Attention Mechanisms with Frequency Domain Features
The 2025 Signal Processing Cup (DFWild-Cup competition) provided a diverse dataset of deepfake images, which are generated from multiple deepfake image generators, for training machine learning model(s) to emphasize the generalization of deepfake detection.
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising
In contrast to non-medical image denoising, where enhancing image clarity is the primary goal, medical image denoising warrants preservation of crucial features without introduction of new artifacts.
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing
To evaluate the effectiveness of DP-CDA, we examine the accuracy of predictive models trained on the synthetic data, which serves as a measure of dataset utility.
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users.
Human Activity Recognition from Wi-Fi CSI Data Using Principal Component-Based Wavelet CNN
Human Activity Recognition (HAR) is an emerging technology with several applications in surveillance, security, and healthcare sectors.
Privacy-preserving Non-negative Matrix Factorization with Outliers
We show our proposed framework's performance in six real data sets.
Improved Differentially Private Decentralized Source Separation for fMRI Data
In this work, we propose a differentially private algorithm for performing ICA in a decentralized data setting.
Distributed Differentially Private Computation of Functions with Correlated Noise
CAPE can be used in conjunction with the functional mechanism for statistical and machine learning optimization problems.
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
Tensor and matrix factorizations are key components of many processing pipelines.
A Face Recognition Scheme using Wavelet Based Dominant Features
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 exploits the local spatial variations in a face image.
