Papers with obfuscation techniques

2 papers
ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks (2025.acl-long)

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Challenge: Recent studies show that obfuscation techniques for MLaaS are susceptible to embedding inversion attacks (EIAs).
Approach: They propose a model obfuscation framework that protects client inputs from embedding inversion attacks by obliviously obbing models.
Outcome: The proposed framework outperforms existing works in utility by 10% with a nearly 80% resistance rate against embedding inversion attacks.
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques (2022.emnlp-main)

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Challenge: Authorship obfuscation techniques are often evaluated based on their ability to hide the author’s identity (evasion) while preserving the content of the original text.
Approach: They propose to evaluate authorship obfuscation techniques on detection evasion and content preservation using competitive identification techniques in real-life scenarios.
Outcome: The proposed method reveals key weaknesses in state-of-the-art obfuscation techniques and surprisingly competitive effectiveness from a back-translation baseline in all evaluation aspects.

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