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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations

Seunghun Yu, Meiyi Zhu, Petar Popovski +2

The paper proposes weighted conformal methods for changepoint localization and root‑cause analysis that downweight potentially corrupted observations using uncertainty estimates, a…

eess.SP2026

Reliable Narrowband Interference Detection via Backward Conformal Prediction

Xin Su, Meiyi Zhu, Osvaldo Simeone +2

Narrowband interference can severely degrade the performance of WiFi links by concentrating significant power on a small portion of the channel. Machine learning (ML) detectors tra…

cs.LG2025

Attention-Based Feature Online Conformal Prediction for Time Series

Meiyi Zhu, Caili Guo, Chunyan Feng +1

Online conformal prediction (OCP) wraps around any pre-trained predictor to produce prediction sets with coverage guarantees that hold irrespective of temporal dependencies or dist…

cs.IT2025

On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks

Meiyi Zhu, Caili Guo, Chunyan Feng +1

In a membership inference attack (MIA), an attacker exploits the overconfidence exhibited by typical machine learning models to determine whether a specific data point was used to…

eess.SP2025

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints

Meiyi Zhu, Matteo Zecchin, Sangwoo Park +4

This paper presents communication-constrained distributed conformal risk control (CD-CRC) framework, a novel decision-making framework for sensor networks under communication const…