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Avengers Ensemble! Improving Transferability of Authorship Obfuscation
Our experiments show that if an obfuscator can evade an ensemble attribution classifier, which is based on multiple base attribution classifiers, it is more likely to transfer to different attribution classifiers.
Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models
Given the potential misuse of recent advances in synthetic text generation by language models (LMs), it is important to have the capacity to attribute authorship of synthetic text.
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