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Disambiguation of "Pintor, Maura"

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Task-Specific Automation in Deep Learning Processes.

, , , , , , , , , , , , and . DEXA Workshops, volume 1479 of Communications in Computer and Information Science, page 159-169. Springer, (2021)

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Pintor Marpaung

Maura Dandri

Maura Zátonyi

Maura Strigini

Maura Schweickert

 

Other publications of authors with the same name

AISec '23: 16th ACM Workshop on Artificial Intelligence and Security., , and . CCS, page 3666-3668. ACM, (2023)Explainability-based Debugging of Machine Learning for Vulnerability Discovery., , and . ARES, page 113:1-113:8. ACM, (2022)Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints., , , and . NeurIPS, page 20052-20062. (2021)AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples., , , , , , , and . CoRR, (2024)HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks., , , , , , , , and . CoRR, (2024)Robust Machine Learning for Malware Detection over Time., , , and . ITASEC, volume 3260 of CEUR Workshop Proceedings, page 169-180. CEUR-WS.org, (2022)Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving., , , , , , and . ICMLC, page 57-62. IEEE, (2023)Optimization and deployment of CNNs at the edge: the ALOHA experience., , , , , , , , , and 8 other author(s). CF, page 326-332. ACM, (2019)Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness., , and . ESANN, (2023)Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis., , , , , , , , , and 1 other author(s). CoRR, (2024)