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AI Security and Safety: The PRALab Research Experience., , , , , , , , и . Ital-IA, том 3486 из CEUR Workshop Proceedings, стр. 324-328. CEUR-WS.org, (2023)The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?, , , , , и . IJCNN, стр. 1-8. IEEE, (2021)Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions., , , , , , и . CoRR, (2021)AISec'20: 13th Workshop on Artificial Intelligence and Security., , и . CCS, стр. 2143-2144. ACM, (2020)AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples., , , , , , , и . CoRR, (2024)HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks., , , , , , , , и . CoRR, (2024)Machine Learning Security Against Data Poisoning: Are We There Yet?, , , , , и . Computer, 57 (3): 26-34 (марта 2024)Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization., , , , , , и . AISec@CCS, стр. 27-38. ACM, (2017)BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability., , , , , , и . PAKDD (1), том 13935 из Lecture Notes in Computer Science, стр. 3-14. Springer, (2023)Super-Sparse Regression for Fast Age Estimation from Faces at Test Time., , , и . ICIAP (2), том 9280 из Lecture Notes in Computer Science, стр. 551-562. Springer, (2015)