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From Principle to Practice: Vertical Data Minimization for Machine Learning., , , and . CoRR, (2023)FARE: Provably Fair Representation Learning with Practical Certificates., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15401-15420. PMLR, (2023)LAMP: Extracting Text from Gradients with Language Model Priors., , , and . NeurIPS, (2022)Watermark Stealing in Large Language Models., , and . ICML, OpenReview.net, (2024)Ward: Provable RAG Dataset Inference via LLM Watermarks., , , and . CoRR, (2024)BaxBench: Can LLMs Generate Correct and Secure Backends?, , , , , , , and . CoRR, (February 2025)Towards Watermarking of Open-Source LLMs., , , and . CoRR, (February 2025)COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act., , , , , , , , , and 2 other author(s). CoRR, (2024)From Principle to Practice: Vertical Data Minimization for Machine Learning., , , and . SP, page 4733-4752. IEEE, (2024)Private and Reliable Neural Network Inference., , , and . CCS, page 1663-1677. ACM, (2022)