全国大会と併設し国際シンポジウムJSAI-isAI2025を開催します（2025年５月26日～27日，https://confit.atlas.jp/guide/event/jsai2025/static/isAi2025）．以下２件の招待講演がございます．現地会場またはオンラインでの聴講が可能です．
SCIDOCA 2025 invited talk
JSAI2025 session URL: https://confit.atlas.jp/guide/event/jsai2025/subject/1J1-isAI-2-01/category?cryptoId=
Date: May 27 (Tue), 2025, Time: 10:00 AM –
Room: Room J
Name : Prof. Chenghua Lin
Title: On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
[ Abstract ]
Rigour is crucial for scientific research as it ensures the reproducibility and validity of results and findings. Despite its importance, little work has been done on modelling rigour computationally, and there is a lack of analysis on whether these criteria effectively signal or measure the rigour of scientific papers in practice. In this talk, I will introduce a bottom-up, data-driven framework to automatically identify and define rigour criteria and assess their relevance in scientific writing. Our framework is domain-agnostic and can be tailored to evaluate scientific rigour in different areas, accommodating distinct salient criteria across fields. We conducted comprehensive experiments using datasets collected from two high-impact venues in Machine Learning and NLP (i.e., ICLR and ACL) to demonstrate the effectiveness of our framework in modelling rigour, including scientific claim verification. Furthermore, we analysed linguistic patterns associated with rigour, revealing that framing certainty is crucial for enhancing the perception of scientific rigour, whereas suggestion certainty and probability uncertainty diminish it.
[ Short Biography ]
Chenghua Lin is a Full Professor and Chair in Natural Language Processing in the Department of Computer Science, The University of Manchester. His research interests lie in the integration of machine learning and NLP for language generation and understanding, as well as representation learning and generation for music. He has received several prizes and awards for his research, including a CIKM Test-of-Time Award and an INLG Best Paper Runner-up Award. He is the Secretary of the ACL SIGGEN Board, a Member of the IEEE Speech and Language Processing Technical Committee, and a founding Advisor of the Multimodal Art Projection community.
AI Security & Privacy 2025 invited talk
JSAI2025 session URL: https://confit.atlas.jp/guide/event/jsai2025/subject/1K1-isAI-3-01/category?cryptoId=
Date: May 26 (Mon), 2025, Time: 9.40 AM – 10:45 AM
Room: Room K
Speaker: Hossein YALAME, Dr.-Ing.
TItle: Privacy-Enhancing Technologies Under GDPR: Challenges and Solutions for AI
[ Abstract ]
As AI regulations evolve, companies operating in the European Union must ensure their AI services comply with the GDPR. Privacy-enhancing technologies (PETs), such as Secure Multi-Party Computation (MPC), have emerged as key solutions for enabling privacy-preserving data analytics while maintaining compliance. However, integrating PETs into real-world deployments presents both technical and legal challenges. This talk will explore the role of PETs under GDPR, focusing on how they support privacy-preserving applications, particularly in sensitive data analytics. Key regulatory considerations include data minimization, legal bases for processing, and cross-border data-sharing restrictions.
We will also discuss Federated Learning (FL) as a privacy-aware approach and the practical challenges it introduces, including:
(1) Aggregator-side attacks that can compromise privacy and model integrity.
(2) Client-side vulnerabilities, such as inference and poisoning attacks.
(3) Cross-border compliance hurdles, where differing national interpretations of GDPR create legal uncertainty.
[ Short Biography ]
Dr. Hossein Yalame is an expert in cryptography and privacy engineering and was formerly with the Department of Computer Science at the Technical University of Darmstadt (TU Darmstadt), Germany. His research focuses on compilers of cryptographic protocols and he received his PhD in September 2024. He is currently working as a researcher in multi-party computation (MPC) at Bosch Research.
He received his M.S. in Computer Engineering from Sharif University of Technology and his B.S. from Shaheed Beheshti University.
His research interests include multiparty computation, federated learning, secret sharing, and data privacy. In addition, he has published papers in the International Association for Cryptology Research (IACR) and is active in the field of cryptography Note that His doctoral dissertation, “Advancing MPC: From Real-World Applications to LUT-Based Protocols”, has been honored with the GDD Science Prize for Young Academics 2024. This award, presented by The German Association for Data Protection and Data Security (GDD), recognizes outstanding contributions to #data_protection and #security research.