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Charles Westphal

2 accepted papers

2026

Hide and Seek in Embedding Space: Geometry-based Steganography and Detection in Large Language Models

ICML 2026poster

Fine-tuned LLMs can covertly encode prompt secrets into outputs via steganographic channels. Prior work demonstrated this threat but relied on trivially recoverable encodings. We formalize payload recoverability via classifier accuracy and show previous schemes achieve 100\% recoverability. In respo…

Cited by 0SourceScholar
2025

Partial Information Decomposition for Data Interpretability and Feature Selection

AISTATS 2025poster

In this paper, we introduce Partial Information Decomposition of Features (PIDF), a new paradigm for simultaneous data interpretability and feature selection. Contrary to traditional methods that assign a single importance value, our approach is based on three metrics per feature: the mutual informa…

Cited by 3SourceScholar