We are thrilled to announce that our conference paper entitled “Cross-Lingual Vulnerabilities of Text-to-Image Models: Evaluating Data Poisoning Attacks Across Ten Languages” has been accepted for publication in the 28th International Conference on Pattern Recognition (ICPR 2026). Congraturations Kakebayashi-kun!

Ryohei Kakebayashi and Tatsuya Mori, "Cross-Lingual Vulnerabilities of Text-to-Image Models: Evaluating Data Poisoning Attacks Across Ten Languages." In Proc. of the 28th International Conference on Pattern Recognition (ICPR 2026) Lyon, France, Sep 2026. Published in Springer LNCS.

We are thrilled to announce that our conference paper entitled “TEV-IDS: CAN Intrusion Detection System via Spatial Temporal-Entropy-Variation Fingerprinting” has been accepted for publication in IEEE 103rd Vehicular Technology Conference (VTC2026-Spring). Congratulations to Peng-kun and kudos to the entire team!

In this work, we propose TEV-IDS, an ID-agnostic intrusion detection framework for in-vehicle CAN networks. Existing systems are largely limited to binary benign/attack decisions and depend on vehicle-specific CAN ID semantics, which hinders both fine-grained attack diagnosis and scalable deployment across heterogeneous platforms. TEV-IDS overcomes these challenges by constructing a Temporal–Entropy–Variation (TEV) feature space from ID-independent cues (inter-arrival intervals, payload entropy, and bit-level variation), and projecting them via a Tri-Perspective View (TPV) into compact 2D feature maps for a lightweight classifier. A stratified few-shot adaptation protocol further enables calibration to unseen vehicles with minimal target data. On the CAN-MIRGU dataset, TEV-IDS achieves a macro-F1 above 0.99 for 17-class attack classification, while cross-domain evaluation on the ROAD dataset yields a macro-AUC above 0.924 with limited calibration data, all under real-time CPU inference latency.

Shuo Peng, Zhihe Zhang, Go Tsuruoka, and Tatsuya Mori. "TEV-IDS: CAN Intrusion Detection System via Spatial Temporal-Entropy-Variation Fingerprinting." In Proc. of IEEE 103rd Vehicular Technology Conference (VTC2026-Spring), Nice, France, Jun 2026.

We are thrilled to announce that our poster entitled “Why Do Non-English Languages Exhibit Higher Vulnerability to Data Poisoning Attacks Against Text-to-Image Models?” has been accepted for publication in NDSS 2026 Poster Session. Congratulations to Kakebayashi-kun and kudos to the entire team!

Ryohei Kakebayashi and Tatsuya Mori. "Poster: Why Do Non-English Languages Exhibit Higher Vulnerability to Data Poisoning Attacks Against Text-to-Image Models?" NDSS 2026 Poster Session (#68), San Diego, CA, USA, Feb 2026.

We are thrilled to announce that our paper entitled “Negative Aspects of Social Triggers for Security and Privacy: Chains of Risky User Behaviors” has been published in Journal of Information Processing (IPSJ). Congratulations to Moore-kun and kudos to the entire team!

Lachlan Moore, Tatsuya Mori, and Ayako A. Hasegawa. “Negative Aspects of Social Triggers for Security and Privacy: Chains of Risky User Behaviors.” Journal of Information Processing, Vol. 66, No. 12 (Dec 2025).

We are thrilled to announce that our paper entitled “PinchKey: A Highly Accurate and Usable Behavioral Biometric Authentication Method for VR Users” has been published in Journal of Information Processing (IPSJ). Congratulations to Suzuki-kun and kudos to the entire team!

Mei Suzuki, Ryo Iijima, Kazuki Nomoto, Tetsushi Ohki, and Tatsuya Mori. “PinchKey: A Highly Accurate and Usable Behavioral Biometric Authentication Method for VR Users.” Journal of Information Processing, Vol. 66, No. 12 (Dec 2025).