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Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning.

, , , , , , , , , and . ACM Comput. Surv., 55 (13s): 294:1-294:39 (2023)

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Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning., , , , , , , , , and . CoRR, (2022)On the Limitations of Model Stealing with Uncertainty Quantification Models., , , , and . CoRR, (2023)The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?, , , , , and . IJCNN, page 1-8. IEEE, (2021)Vector Flows and the Capacity of a Discrete Memoryless Channel., , , and . CoRR, (2023)Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks., , , , , , , , and . CoRR, (2023)Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning., , , , , , , , , and . ACM Comput. Surv., 55 (13s): 294:1-294:39 (2023)Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions., , , , , , and . CoRR, (2021)Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams., , , , , , , and . CoRR, (2024)AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples., , , , , , , and . CoRR, (2024)Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training., , , , , , and . ICIAP (2), volume 14234 of Lecture Notes in Computer Science, page 515-526. Springer, (2023)