4 papers
When Is Disclosing Private Conversations with AI to the State Justified? Proactive Referral Policies of Major U.S. AI Companies through the Lens of Contextual Integrity
Minjong Cheon, Hanseon Joo, Ook Lee +1
AI companies engage in "proactive referral," notifying law enforcement of user conversations they judge dangerous without a government request. This poses a dilemma, since referral…
Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness
Hanseon Joo, Hayoung Choi, Ook Lee +1
Kolmogorov-Arnold Networks (KANs) have garnered attention for replacing fixed activation functions with learnable univariate functions, but they exhibit practical limitations, incl…
Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization
Hanseon Joo, Eunji Lee, Minjong Cheon
Water segmentation is critical to disaster response and water resource management. Authorities may employ high-resolution photography to monitor rivers, lakes, and reservoirs, allo…
Design of a novel Korean learning application for efficient pronunciation correction
Minjong Cheon, Minseon Kim, Hanseon Joo
The Korean wave, which denotes the global popularity of South Korea's cultural economy, contributes to the increasing demand for the Korean language. However, as there does not exi…