19 citations · 56 across the 24 of their papers we have counts for
26 papers
Beyond End-to-End Success: Diagnosing Failures in Long-Horizon Security LLM Agents
Wei Shao, Chongzhou Fang, Zuxiong Tan +4
Long-horizon security LLM agents must carry information and decisions across many dependent interactions, where later actions often depend on services, state, or access discovered…
Unit-Independent Low-Rate Wrist GSR Processing for Stress Detection Using Phasic nSCR Features
Zequan Liang, Sally Hang, Geneva M. Jost +8
Galvanic skin response (GSR) is widely used for stress detection, but wrist-based GSR remains challenging because its absolute amplitude can differ substantially from laboratory-gr…
Low-Rate Wrist SpO2 Estimation under Micro-Perturbations Using Motion-Aware Beat Selection and Perfusion-Guided Calibration
Zequan Liang, Ning Miao, Wei Shao +5
Continuous oxygen saturation (SPO2) monitoring from photoplethysmography (PPG) is important for wearable health sensing, but wrist-based SPO2 estimation remains challenging due to…
SpO Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation
Zequan Liang, Elahe Hosseini, Ning Miao +5
Continuous oxygen saturation (SpO) estimation from wearable photoplethysmography (PPG) is important for long-term health monitoring, but low-quality red and infrared PPG segmen…
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
Akash Bonagiri, Gerard Janno Anderias, Saee Patil +6
Human evaluation remains the primary standard for assessing modern AI systems, yet annotator disagreement, bias, and variability make system rankings fragile under standard majorit…
CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
Akash Bonagiri, Devang Borkar, Gerard Janno Anderias +2
Large language model (LLM) agents frequently fail on multi-step tasks involving reasoning, tool use, and environment interaction. While such failures are typically logged or retrie…
Lightweight Cross-Device Sleep Tracking on the WeBe Wearable Platform
Wei Shao, Ehsan Kourkchi, Krishi Prashant Shah +3
Wearable devices are widely used for continuous health monitoring, yet reliable sleep tracking on emerging platforms remains underexplored due to reliance on proprietary algorithms…
Kumo: A Security-Focused Serverless Cloud Simulator
Wei Shao, Khaled Khasawneh, Setareh Rafatirad +2
Serverless computing abstracts infrastructure management but also obscures system-level behaviors that can introduce security risks. Prior work has shown that serverless platforms…
When Models Ignore Definitions: Measuring Semantic Override Hallucinations in LLM Reasoning
Yogeswar Reddy Thota, Setareh Rafatirad, Homayoun Houman +1
Large language models (LLMs) demonstrate strong performance on standard digital logic and Boolean reasoning tasks, yet their reliability under locally redefined semantics remains p…
Human-AI Interaction: Evaluating LLM Reasoning on Digital Logic Circuit included Graph Problems, in terms of creativity in design and analysis
Yogeswar Reddy Thota, Setareh Rafatirad, Homayoun Houman +1
Large Language Models (LLMs) are increasingly used by undergraduate students as on-demand tutors, yet their reliability on circuit- and diagram-based digital logic problems remains…
Bit of a Close Talker: A Practical Guide to Serverless Cloud Co-Location Attacks
Wei Shao, Najmeh Nazari, Behnam Omidi +4
Serverless computing has revolutionized cloud computing by offering users an efficient, cost-effective way to develop and deploy applications without managing infrastructure detail…
A Comprehensive Study of Implicit and Explicit Biases in Large Language Models
Fatima Kazi, Alex Young, Yash Inani +1
Large Language Models (LLMs) inherit explicit and implicit biases from their training datasets. Identifying and mitigating biases in LLMs is crucial to ensure fair outputs, as they…
FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models
Najmeh Nazari, Banafsheh Saber Latibari, Elahe Hosseini +8
Forget and Rewire (FaR) methodology has demonstrated strong resilience against Bit-Flip Attacks (BFAs) on Transformer-based models by obfuscating critical parameters through dynami…
Generalizable Blood Pressure Estimation from Multi-Wavelength PPG Using Curriculum-Adversarial Learning
Zequan Liang, Ruoyu Zhang, Wei Shao +4
Accurate and generalizable blood pressure (BP) estimation is vital for the early detection and management of cardiovascular diseases. In this study, we enforce subject-level data s…
Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
Zequan Liang, Ruoyu Zhang, Wei Shao +4
Blood oxygen saturation (SpO2) is a vital marker for healthcare monitoring. Traditional SpO2 estimation methods often rely on complex clinical calibration, making them unsuitable f…
Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
Wei Shao, Ruoyu Zhang, Zequan Liang +3
Wearable photoplethysmography (PPG) is embedded in billions of devices, yet its optical waveform is easily corrupted by motion, perfusion loss, and ambient light, jeopardizing down…
LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement
Yu-Zheng Lin, Sujan Ghimire, Abhiram Nandimandalam +8
The rapid growth of hardware vulnerabilities has created an urgent need for systematic and scalable analysis methods. Unlike software flaws, which are often patchable post-deployme…
Know Me by My Pulse: Toward Practical Continuous Authentication on Wearable Devices via Wrist-Worn PPG
Wei Shao, Zequan Liang, Ruoyu Zhang +6
Biometric authentication using physiological signals offers a promising path toward secure and user-friendly access control in wearable devices. While electrocardiogram (ECG) signa…
APEX: Attention on Personality based Emotion ReXgnition Framework
Ruijie Fang, Ruoyu Zhang, Elahe Hosseini +4
Automated emotion recognition has applications in various fields, such as human-machine interaction, healthcare, security, education, and emotion-aware recommendation/feedback syst…
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering
Zhangying He, Thomas Nguyen, Tahereh Miari +3
Artificial Intelligence (AI), with ChatGPT as a prominent example, has recently taken center stage in various domains including higher education, particularly in Computer Science a…
HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion
Yu-Zheng Lin, Muntasir Mamun, Muhtasim Alam Chowdhury +11
The escalating complexity of modern computing frameworks has resulted in a surge in the cybersecurity vulnerabilities reported to the National Vulnerability Database (NVD) by pract…
A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking
Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad +2
Logic obfuscation is introduced as a pivotal defense against multiple hardware threats on Integrated Circuits (ICs), including reverse engineering (RE) and intellectual property (I…
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks
Chongzhou Fang, Han Wang, Najmeh Nazari +5
Cloud computing paradigms have emerged as a major facility to store and process the massive data produced by various business units, public organizations, Internet-of-Things, and c…
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Xiaojie Guo, Liang Zhao, Cameron Nowzari +3
Generalized from image and language translation, graph translation aims to generate a graph in the target domain by conditioning an input graph in the source domain. This promising…