Uncertainty, Calibration, and Membership Inference Attacks: An Information-Theoretic Perspective

no code implementations • 16 Feb 2024 • Meiyi Zhu, Caili Guo, Chunyan Feng, Osvaldo Simeone

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.

Conformal Prediction Inference Attack +1

Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction

no code implementations • 8 Aug 2023 • Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone

Recent work has introduced federated conformal prediction (CP), which leverages devices-to-server communication to improve the reliability of the server's decision.

Conformal Prediction Uncertainty Quantification

Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems

no code implementations • 19 Dec 2022 • Meiyi Zhu, Chunyan Feng, Caili Guo, Nan Jiang, Osvaldo Simeone

Type-based multiple access (TBMA) is a semantics-aware multiple access protocol for remote inference.