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Found 2 papers, 1 papers with code
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to confuse the model into making a mistake.
Predicting Merge Conflicts in Collaborative Software Development
Predicting merge conflicts is feasible in practice, especially in the context of predicting safe merge scenarios as a pre-filtering step for speculative merging.
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