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Data Leakage in Federated Averaging., , , and . Trans. Mach. Learn. Res., (2022)Adversarial Training and Provable Defenses: Bridging the Gap., and . ICLR, OpenReview.net, (2020)Scalable Polyhedral Verification of Recurrent Neural Networks., , , , , and . CAV (1), volume 12759 of Lecture Notes in Computer Science, page 225-248. Springer, (2021)LAMP: Extracting Text from Gradients with Language Model Priors., , , and . NeurIPS, (2022)DL2: Training and Querying Neural Networks with Logic., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1931-1941. PMLR, (2019)Efficient Certification of Spatial Robustness., , , and . AAAI, page 2504-2513. AAAI Press, (2021)From Principle to Practice: Vertical Data Minimization for Machine Learning., , , and . CoRR, (2023)Beyond Memorization: Violating Privacy Via Inference with Large Language Models., , , and . CoRR, (2023)Latent Space Smoothing for Individually Fair Representations., , , , and . ECCV (13), volume 13673 of Lecture Notes in Computer Science, page 535-554. Springer, (2022)FARE: Provably Fair Representation Learning with Practical Certificates., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15401-15420. PMLR, (2023)