Papers by Kevin Hamlen

1 papers
Controllable Fake Document Infilling for Cyber Deception (2022.findings-emnlp)

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Challenge: Existing approaches to deter malicious intrusion generate multiple fake versions of a document that are context-agnostic and produce sub-optimal outputs.
Approach: They propose a context-aware model for creating fake documents that masks important concepts of varied lengths and then infills a realistic but fake alternative considering both the previous and future contexts.
Outcome: The proposed model outperforms baseline models in generating highly believable fakes with moderate modification to protect critical information and deceive adversaries.

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