Publications (10)
MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard
Ruishi Zou, Shiyu Xu, Margaret E Morris +11
Advances in data collection enable the capture of rich patient-generated data: from passive sensing (e.g., wearables and smartphones) to active self-reports (e.g., cross-sectional…
Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases
Ya Xiao, Yang Zhao, Nicholas Allen +4
Enterprise environment often screens large-scale (millions of lines of code) codebases with static analysis tools to find bugs and vulnerabilities. Parfait is a static code analysi…
Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study
Terrance Liu, Paul Pu Liang, Michal Muszynski +5
Mental health conditions remain under-diagnosed even in countries with common access to advanced medical care. The ability to accurately and efficiently predict mood from easily co…
IFDS Taint Analysis with Access Paths
Nicholas Allen, François Gauthier, Alexander Jordan
Over the years, static taint analysis emerged as the analysis of choice to detect some of the most common web application vulnerabilities, such as SQL injection (SQLi) and cross-si…
Context Matters: Vision-Based Depression Detection Comparing Classical and Deep Approaches
Maneesh Bilalpur, Saurabh Hinduja, Sonish Sivarajkumar +4
The classical approach to detecting depression from vision emphasizes interpretable features, such as facial expression, and classifiers such as the Support Vector Machine (SVM). W…
Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms
Teague Tomesh, Nicholas Allen, Daniel Dilley +1
The computational capabilities of near-term quantum computers are limited by the noisy execution of gate operations and a limited number of physical qubits. Hybrid variational algo…