activity
20192026
most citedRepttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks

19 citations · 56 across the 24 of their papers we have counts for

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Showing 2026Show all

11 papers · 1 filter

cs.CR2026

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…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

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…

cs.LG2026

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…

cs.LG2026

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…

cs.ET2026

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…

cs.CR2026

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…

cs.AR2026

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…

cs.AR2026

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…

cs.CR2026

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…