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Found 8 papers, 0 papers with code
Uncertainty, Calibration, and Membership Inference Attacks: An Information-Theoretic Perspective
We derive bounds on the advantage of an MIA adversary with the aim of offering insights into the impact of uncertainty and calibration on the effectiveness of MIAs.
Boundary-Aware Proposal Generation Method for Temporal Action Localization
More importantly, few works consider the background frames that are similar to action frames in pixels but dissimilar in semantics, which also leads to inaccurate temporal boundaries.
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
Recent work has introduced federated conformal prediction (CP), which leverages devices-to-server communication to improve the reliability of the server's decision.
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems
Type-based multiple access (TBMA) is a semantics-aware multiple access protocol for remote inference.
Joint LED Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems
First, a MU-MC-VLC system model is established, and then a sum-rate maximization problem under dimming level and illumination uniformity constraints is formulated.
Power Efficient LED Placement Algorithm for Indoor Visible Light Communication
Due to the interactions among LEDs and the illumination uniformity constraint, the formulated problem is complex and non-convex.
A Novel Received Signal Strength Assisted Perspective-three-Point Algorithm for Indoor Visible Light Positioning
The basic idea of R-P3P is to joint visual and strength information to estimate the receiver position using 3 LEDs regardless of the LEDs' orientations.
Granger Causal Structure Reconstruction from Heterogeneous Multivariate Time Series
Granger causal structure reconstruction is an emerging topic that can uncover causal relationship behind multivariate time series data.
