What question did this study set out to answer?

The review aims to identify and evaluate privacy-preserving techniques and threats in foundation models.

Privacy-preserving in foundation models: a systematic review of techniques, threats, and trade-offs

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This systematic review analyzes privacy-preserving techniques in foundation models, suggesting improvements for ethical AI design.

The review aims to identify and evaluate privacy-preserving techniques and threats in foundation models.
Conducted a systematic literature review of 295 peer-reviewed studies.
Analyzed privacy-preserving techniques across the foundation model lifecycle.
Evaluated privacy threats and challenges related to foundation models.
Investigated privacy-utility trade-offs in existing literature.
Identified various privacy-preserving techniques and their applications in foundation models.
Highlighted common privacy threats and their prevalence.
Discussed challenges in implementing effective privacy measures.
Provided a taxonomy for understanding privacy-preserving techniques and threats.

ElSheikh et al. (2026) studied this question.

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