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Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis?, , , , , , , , , и . CAMLIS, том 3391 из CEUR Workshop Proceedings, стр. 81-99. CEUR-WS.org, (2022)Continuously Generalized Ordinal Regression for Linear and Deep Models., , и . SDM, стр. 28-36. SIAM, (2022)Out of Distribution Data Detection Using Dropout Bayesian Neural Networks., , , , , и . AAAI, стр. 7877-7885. AAAI Press, (2022)A Coreset Learning Reality Check., , и . AAAI, стр. 8940-8948. AAAI Press, (2023)Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile., , , , , , и . AISec@CCS, стр. 23-33. ACM, (2023)Evaluating the Disentanglement of Deep Generative Models through Manifold Topology., , , , , и . ICLR, OpenReview.net, (2021)A General Framework for Auditing Differentially Private Machine Learning., , , , , , , и . NeurIPS, (2022)Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!, , , , , и . CAMLIS, том 3652 из CEUR Workshop Proceedings, стр. 181-192. CEUR-WS.org, (2023)Neural Bregman Divergences for Distance Learning., , и . ICLR, OpenReview.net, (2023)Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data., , , , , , , , , и 7 other автор(ы). PLoS Comput. Biol., (2022)