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Found 2 papers, 1 papers with code
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
In the field of high-energy physics, deep learning algorithms continue to gain in relevance and provide performance improvements over traditional methods, for example when identifying rare signals or finding complex patterns.
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
We investigate the classifier response to input data with injected mismodelings and probe the vulnerability of flavor tagging algorithms via application of adversarial attacks.
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