The massive datasets that power machine learning algorithms and systems are complex, noisy, and vulnerable to various kinds of errors, contamination, and adversarial corruptions. As data science and ...
Tsukuba, Japan—Machine learning systems for autonomous driving, diagnostic medical imaging, and other applications require reliable and safe output. One such system design is the N-version machine ...
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