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Found 15 papers, 2 papers with code
Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
This study focuses on the deepfake detection of facial images of individual public figures.
Analysis of Coding Gain Due to In-Loop Reshaping
Reshaping, a point operation that alters the characteristics of signals, has been shown capable of improving the compression ratio in video coding practices.
Group Testing with Side Information via Generalized Approximate Message Passing
These samples are arranged into m < n pooled samples, where each pool is obtained by mixing a subset of the n individual samples.
Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions
Animal Assisted Interventions (AAIs) involve pleasant interactions between humans and animals and can potentially benefit both types of participants.
Mismatched Estimation in the Distance Geometry Problem
We investigate mismatched estimation in the context of the distance geometry problem (DGP).
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Prior work has shown that the gradient sharing strategies in federated learning can be vulnerable to data reconstruction attacks.
Neural Tangent Kernel Empowered Federated Learning
The paradigm addresses the challenge of statistical heterogeneity by transmitting update data that are more expressive than those of the conventional FL paradigms.
Federated Learning via Plurality Vote
Federated learning allows collaborative workers to solve a machine learning problem while preserving data privacy.
Communication-Efficient Federated Learning via Predictive Coding
In each communication round, we select the predictor and quantizer based on the rate-distortion cost, and further reduce the redundancy with entropy coding.
A Multi-Channel Ratio-of-Ratios Method for Noncontact Hand Video Based SpO2 Monitoring Using Smartphone Cameras
Experimental results show that our proposed blood oxygen estimation method can reach a mean absolute error of 1. 26% when a pulse oximeter is used as a reference, outperforming the traditional RoR method by 25%.
Remote Blood Oxygen Estimation From Videos Using Neural Networks
Blood oxygen saturation (SpO$_2$) is an essential indicator of respiratory functionality and is receiving increasing attention during the COVID-19 pandemic.
Modeling the Nonsmoothness of Modern Neural Networks
Modern neural networks have been successful in many regression-based tasks such as face recognition, facial landmark detection, and image generation.
Toward Effective Automated Content Analysis via Crowdsourcing
For subjective features such as semantic connotation, online workers, known for optimizing their hourly earnings, tend to deteriorate in the quality of their responses as they work longer.
On Microstructure Estimation Using Flatbed Scanners for Paper Surface Based Authentication
We analytically show that log(EER) is decreasing linearly in the edge length of a paper patch.
Adaptive Multi-Trace Carving for Robust Frequency Tracking in Forensic Applications
In the field of information forensics, many emerging problems involve a critical step that estimates and tracks weak frequency components in noisy signals.
