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pro vyhledávání: '"Samadi, Anahita"'
Autor:
Samadi, Anahita, Sullivan, Allison
As machine learning systems become more widely used, especially for safety critical applications, there is a growing need to ensure that these systems behave as intended, even in the face of adversarial examples. Adversarial examples are inputs that
Externí odkaz:
http://arxiv.org/abs/2408.08374
Recently, some studies have shown that text classification tasks are vulnerable to poisoning and evasion attacks. However, little work has investigated attacks against decision making algorithms that use text embeddings, and their output is a ranking
Externí odkaz:
http://arxiv.org/abs/2108.05490