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Certifying Geometric Robustness of Neural Networks.

, , , , и . NeurIPS, стр. 15287-15297. (2019)

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Mislav Gjuric

Mislav Karoglan

Igor-Mislav Oreb

 

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