40 citations · 166 across the 20 of their papers we have counts for
20 papers
Exposing Vulnerabilities in Counterfeit Prevention Systems Utilizing Physically Unclonable Surface Features
Anirudh Nakra, Nayeeb Rashid, Chau-Wai Wong +1
Counterfeit products pose significant risks to public health and safety through infiltrating untrusted supply chains. Among numerous anti-counterfeiting techniques, leveraging inhe…
Chip-Surface Based Visual Authentication for Integrated Circuits
Runze Liu, Prasun Datta, Anirudh Nakra +2
The rapid development of the semiconductor industry and the ubiquity of electronic devices have led to a significant increase in the counterfeiting of integrated circuits (ICs). Th…
SoK: Fighting Counterfeits with Cyber-Physical Synergy Based on Physically-Unclonable Identifiers of Paper Surface
Anirudh Nakra, Min Wu, Chau-Wai Wong
Counterfeit products cause severe harm to public safety and health by penetrating untrusted supply chains. Numerous anti-counterfeiting techniques have been proposed, among which t…
Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions
Timothy Holder, Mushfiqur Rahman, Emily Summers +3
Animal Assisted Interventions (AAIs) involve pleasant interactions between humans and animals and can potentially benefit both types of participants. Research in this field may hel…
Group Testing with Side Information via Generalized Approximate Message Passing
Shu-Jie Cao, Ritesh Goenka, Chau-Wai Wong +2
Group testing can help maintain a widespread testing program using fewer resources amid a pandemic. In a group testing setup, we are given n samples, one per individual. Each indiv…
Mismatched Estimation in the Distance Geometry Problem
Mahmoud Abdelkhalek, Dror Baron, Chau-Wai Wong
We investigate mismatched estimation in the context of the distance geometry problem (DGP). In the DGP, for a set of points, we are given noisy measurements of pairwise distances b…
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Kai Yue, Richeng Jin, Chau-Wai Wong +2
Federated learning has been proposed as a privacy-preserving machine learning framework that enables multiple clients to collaborate without sharing raw data. However, client priva…
Neural Tangent Kernel Empowered Federated Learning
Kai Yue, Richeng Jin, Ryan Pilgrim +3
Federated learning (FL) is a privacy-preserving paradigm where multiple participants jointly solve a machine learning problem without sharing raw data. Unlike traditional distribut…
Federated Learning via Plurality Vote
Kai Yue, Richeng Jin, Chau-Wai Wong +1
Federated learning allows collaborative workers to solve a machine learning problem while preserving data privacy. Recent studies have tackled various challenges in federated learn…
Communication-Efficient Federated Learning via Predictive Coding
Kai Yue, Richeng Jin, Chau-Wai Wong +1
Federated learning can enable remote workers to collaboratively train a shared machine learning model while allowing training data to be kept locally. In the use case of wireless m…
A Multi-Channel Ratio-of-Ratios Method for Noncontact Hand Video Based SpO Monitoring Using Smartphone Cameras
Xin Tian, Chau-Wai Wong, Sushant M. Ranadive +1
Blood oxygen saturation (SpO) is an important indicator for pulmonary and respiratory functionalities. Clinical findings on COVID-19 show that many patients had dangerously low…
Remote Blood Oxygen Estimation From Videos Using Neural Networks
Joshua Mathew, Xin Tian, Min Wu +1
Blood oxygen saturation (SpO) is an essential indicator of respiratory functionality and is receiving increasing attention during the COVID-19 pandemic. Clinical findings show…
Contact Tracing Information Improves the Performance of Group Testing Algorithms
Ritesh Goenka, Shu-Jie Cao, Chau-Wai Wong +2
Group testing can help maintain a widespread testing program using fewer resources amid a pandemic. In group testing, we are given samples, one per individual. These samples ar…
Modeling the Nonsmoothness of Modern Neural Networks
Runze Liu, Chau-Wai Wong, Huaiyu Dai
Modern neural networks have been successful in many regression-based tasks such as face recognition, facial landmark detection, and image generation. In this work, we investigate a…
Toward Effective Automated Content Analysis via Crowdsourcing
Jiele Wu, Chau-Wai Wong, Xinyan Zhao +1
Many computer scientists use the aggregated answers of online workers to represent ground truth. Prior work has shown that aggregation methods such as majority voting are effective…
Contact Tracing Enhances the Efficiency of COVID-19 Group Testing
Ritesh Goenka, Shu-Jie Cao, Chau-Wai Wong +2
Group testing can save testing resources in the context of the ongoing COVID-19 pandemic. In group testing, we are given samples, one per individual, and arrange them into $m <…
On Microstructure Estimation Using Flatbed Scanners for Paper Surface Based Authentication
Runze Liu, Chau-Wai Wong
Paper surfaces under the microscopic view are observed to be formed by intertwisted wood fibers. Such structures of paper surfaces are unique from one location to another and are a…
Adaptive Multi-Trace Carving for Robust Frequency Tracking in Forensic Applications
Qiang Zhu, Mingliang Chen, Chau-Wai Wong +1
In the field of information forensics, many emerging problems involve a critical step that estimates and tracks weak frequency components in noisy signals. It is often challenging…
ECG Reconstruction via PPG: A Pilot Study
Qiang Zhu, Xin Tian, Chau-Wai Wong +1
In this paper, the relation between electrocardiogram (ECG) and photoplethysmogram (PPG) signals is studied, and the waveform of ECG is inferred via the PPG signals. In order to ad…
Impact Analysis of Baseband Quantizer on Coding Efficiency for HDR Video
Chau-Wai Wong, Guan-Ming Su, Min Wu
Digitally acquired high dynamic range (HDR) video baseband signal can take 10 to 12 bits per color channel. It is economically important to be able to reuse the legacy 8 or 10-bit…