Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC])
Data visualizations have been widely used on mobile devices like smartphones for various tasks (e.g., visualizing personal health and financial data), making it convenient for people to view such data…
Real-time privacy preserving disease diagnosis using ECG signal. (arXiv:2202.03652v3 [cs.CR] UPDATED)
The rapid development in Internet of Medical Things (IoMT) boosts the opportunity for real-time health monitoring using various data types such as electroencephalography (EEG) and electrocardiography (ECG). Security issues have…
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. (arXiv:2303.13408v1 [cs.CL])
To detect the deployment of large language models for malicious use cases (e.g., fake content creation or academic plagiarism), several approaches have recently been proposed for identifying AI-generated text via…
Don’t Peek at My Chart: Privacy-preserving Visualization for Mobile Devices. (arXiv:2303.13307v1 [cs.HC])
Data visualizations have been widely used on mobile devices like smartphones for various tasks (e.g., visualizing personal health and financial data), making it convenient for people to view such data…
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. (arXiv:2106.06312v4 [cs.LG] UPDATED)
Federated learning is a learning paradigm to enable collaborative learning across different parties without revealing raw data. Notably, vertical federated learning (VFL), where parties share the same set of samples…
Adversarial Robustness of Learning-based Static Malware Classifiers. (arXiv:2303.13372v1 [cs.CR])
Malware detection has long been a stage for an ongoing arms race between malware authors and anti-virus systems. Solutions that utilize machine learning (ML) gain traction as the scale of…
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. (arXiv:2106.06312v4 [cs.LG] UPDATED)
Federated learning is a learning paradigm to enable collaborative learning across different parties without revealing raw data. Notably, vertical federated learning (VFL), where parties share the same set of samples…
Towards Flexible Anonymous Networks. (arXiv:2203.03764v2 [cs.CR] UPDATED)
Anonymous Communication designs such as Tor build their security upon distributing the trust in many volunteers running relays in many locations globally. In practice, it leads to a heterogeneous network…
Adversarial Robustness of Learning-based Static Malware Classifiers. (arXiv:2303.13372v1 [cs.CR])
Malware detection has long been a stage for an ongoing arms race between malware authors and anti-virus systems. Solutions that utilize machine learning (ML) gain traction as the scale of…
Real-time privacy preserving disease diagnosis using ECG signal. (arXiv:2202.03652v3 [cs.CR] UPDATED)
The rapid development in Internet of Medical Things (IoMT) boosts the opportunity for real-time health monitoring using various data types such as electroencephalography (EEG) and electrocardiography (ECG). Security issues have…