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A Dual Approach to Verify and Train Deep Networks.

, , , , и . IJCAI, стр. 6156-6160. ijcai.org, (2019)

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Anthony Stanforth

Robert Klöfkorn

Numerics for evolution equations: a general interface based design concept. Uni Freiburg, (2009)

Robert Wille

Towards a design flow for reversible logic. Uni Bremen, (2009)

Robert Braun

Referenzmodellierung: Grundlegung und Evaluation der Technik des Modell-Konfigurationsmanagements. TU Dresden, (2010)

Robert Wagner

Inkrementelle Modellsynchronisation. Uni Paderborn, (2009)
 

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Differentially Private Diffusion Models Generate Useful Synthetic Images., , , , , , , , , и . CoRR, (2023)Verification of Non-Linear Specifications for Neural Networks., , , , , , , , и . ICLR (Poster), OpenReview.net, (2019)Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation., , , , , , , и . EMNLP/IJCNLP (1), стр. 4081-4091. Association for Computational Linguistics, (2019)Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control., , , , , , и . ICLR, OpenReview.net, (2020)Towards Stable and Efficient Training of Verifiably Robust Neural Networks., , , , , , , и . ICLR, OpenReview.net, (2020)Reducing Sentiment Bias in Language Models via Counterfactual Evaluation., , , , , , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 65-83. Association for Computational Linguistics, (2020)Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles., , , , , и . CoRR, (2018)Are Labels Required for Improving Adversarial Robustness?, , , , , и . NeurIPS, стр. 12192-12202. (2019)Adversarial Robustness through Local Linearization., , , , , , , , и . NeurIPS, стр. 13824-13833. (2019)Towards Verified Robustness under Text Deletion Interventions., , , , , , и . ICLR, OpenReview.net, (2020)