Search Results for author:
Found 6 papers, 2 papers with code
A Finger on the Pulse of Cardiovascular Health: Smartphone Photoplethysmography-Based Pulse Waveform Analysis for Blood Pressure Measurement
This study explores the use of smartphones for continuous BP monitoring, focusing on overcoming the trust barriers associated with the opacity of machine learning models in predicting BP from low-quality PPG signals.
Masked Language Model Based Textual Adversarial Example Detection
To explore how to use the masked language model in adversarial detection, we propose a novel textual adversarial example detection method, namely Masked Language Model-based Detection (MLMD), which can produce clearly distinguishable signals between normal examples and adversarial examples by exploring the changes in manifolds induced by the masked language model.
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting
Fine-tuning attacks are effective in removing the embedded watermarks in deep learning models.
Dynamic Spatial Propagation Network for Depth Completion
Our solution is to estimate independent affinity matrices in each SPN iteration, but it is over-parameterized and heavy calculation.
Point Cloud Learning with Transformer
Remarkable performance from Transformer networks in Natural Language Processing promote the development of these models in dealing with computer vision tasks such as image recognition and segmentation.
Detecting Censor Detection
Our goal is to empirically discover how censors react to the introduction of new proxy servers that can be used to circumvent their information controls.
Cryptography and Security
