collaborators

5 papers

cs.AI2026

ConCI: A Controlled Counterfactual Benchmark for Contextual Integrity in LLMs

Juhyeon Park, Sumin Yu, Taesup Moon

Contextual integrity (CI) holds that the appropriateness of sharing personal information depends on the context of the information flow, not on the information alone. However, exis…

cs.CY2026

Who Will Become the Next Senior? How Generative AI Erodes the Development Pathway in Software Engineering

Sumin Yu, Taesup Moon

Generative AI (GenAI) is reshaping software engineering, raising concerns about how the development pathway through which juniors become seniors is being eroded. While macro statis…

cs.CV2026

Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

Sangwon Jung, Sumin Yu, Sanghyuk Chun +1

The notion of algorithmic fairness has been actively explored from various aspects of fairness, such as counterfactual fairness (CF) and group fairness (GF). However, the exact rel…

cs.CY2026

PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset

Sumin Yu, Juhyeon Park, Taesup Moon

We present PopResume, a population-representative resume dataset for causal fairness auditing of LLM- and VLM-based resume screening systems. Unlike existing benchmarks that rely o…

cs.CV2025

SP-Guard: Selective Prompt-adaptive Guidance for Safe Text-to-Image Generation

Sumin Yu, Taesup Moon

While diffusion-based T2I models have achieved remarkable image generation quality, they also enable easy creation of harmful content, raising social concerns and highlighting the…