Learning Private Representations through Entropy-based Adversarial Training

Tassilo Klein; Moin Nabi

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arXiv · 2507.10194

Learning Private Representations through Entropy-based Adversarial Training

Tassilo Klein·Moin Nabi

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Abstract

How can we learn a representation with high predictive power while preserving user privacy? We present an adversarial representation learning method for sanitizing sensitive content from the learned representation. Specifically, we introduce a variant of entropy - focal entropy, which mitigates the potential information leakage of the existing entropy-based approaches. We showcase feasibility on multiple benchmarks. The results suggest high target utility at moderate privacy leakage.

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Tassilo Klein, Moin Nabi. 2025-07-14. Learning Private Representations through Entropy-based Adversarial Training. https://arxiv.org/abs/2507.10194

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