3 papers
cs.AI2026
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
Sanghyu Yoon, Dongmin Kim, Suhee Yoon +6
In tabular anomaly detection (AD), textual semantics often carry critical signals, as the definition of an anomaly is closely tied to domain-specific context. However, existing ben…
cs.LG2025
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
Jaebin Lee, Hankook Lee
In machine learning, effective modeling requires a holistic consideration of how to encode inputs, make predictions (i.e., decoding), and train the model. However, in time-series f…
cs.CR2025
Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems
Minseok Kim, Hankook Lee, Hyungjoon Koo
Large language models (LLMs) are reshaping numerous facets of our daily lives, leading widespread adoption as web-based services. Despite their versatility, LLMs face notable chall…