Style de citation APA (7e éd.)

Segal, T., Shabtai, A., & Elovici, Y. (2026). Provably Protecting Fine-Tuned LLMs from Training Data Extraction while Preserving Utility.

Style de citation Chicago (17e éd.)

Segal, Tom, Asaf Shabtai, et Yuval Elovici. Provably Protecting Fine-Tuned LLMs from Training Data Extraction While Preserving Utility. 2026.

Style de citation MLA (9e éd.)

Segal, Tom, et al. Provably Protecting Fine-Tuned LLMs from Training Data Extraction While Preserving Utility. 2026.