Papers by Wanniarachchi Kankanamge Malithi Mithsara

1 papers
No Innocence in Styling: Discovery of Privacy Protection Capabilities and Security Risks in Consumer Generative AI Writing Assistants (2026.acl-industry)

Copied to clipboard

Challenge: a recent study examines the dual-use nature of platform-level text stylization.
Approach: They examine the dual-use nature of platform-level text stylization by examining their implications for privacy and platform safety.
Outcome: The proposed model reduces emotion inference accuracy, lowers profiling risk, and increases error rates in misinformation detection.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations