7 papers
Trigger Value Selection in Clean-Label Malware Backdoors: An Effectiveness-Detectability Analysis
Tri Budi Sabdo Utomo, Kazushi Okamoto, Koki Karube +2
Clean-label backdoor poisoning is a threat to machine learning-based malware classifiers because poisoned samples can be inserted into training data without changing their labels.…
LLM-Based Weak Annotation for Cybersecurity Tweet Classification: A Teacher-Student Framework
Ferry Afit Kurniawan, Kazushi Okamoto, Koki Karube +2
Cyber threat intelligence (CTI) relies on the timely identification of emerging threats, enabling organizations and security analysts to support situational awareness and decision-…
Estimation of Fireproof Structure Class and Construction Year for Disaster Risk Assessment
Hibiki Ayabe, Kazushi Okamoto, Koki Karube +2
Structural fireproof classification is vital for disaster risk assessment and insurance pricing in Japan. However, key building metadata such as construction year and structure typ…
Generation and annotation of item usage scenarios in e-commerce using large language models
Madoka Hagiri, Kazushi Okamoto, Koki Karube +2
Complementary recommendations suggest combinations of useful items that play important roles in e-commerce. However, complementary relationships are often subjective and vary among…
A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models
Yu Tokutake, Kazushi Okamoto, Kei Harada +2
Serendipity in recommender systems (RSs) has attracted increasing attention as a concept that enhances user satisfaction by presenting unexpected and useful items. However, evaluat…
Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
Yongzhi Jin, Kazushi Okamoto, Kei Harada +2
In information recommendation, a session refers to a sequence of user actions within a specific time frame. Session-based recommender systems aim to capture short-term preferences…
A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model
Yu Tokutake, Chihiro Yamasaki, Yongzhi Jin +2
In this paper, we propose a solution that won the 10th prize in the KDD Cup 2023 Challenge Task 2 (Next Product Recommendation for Underrepresented Languages/Locales). Our approach…