The AsiaCCS 2025 Workshop on Privacy in Large Language Models (LLM) and Natural Language Processing (NLP) - (LM-SHIELD2025)
ACM ASIACCS 2025 | 26 August 2025, Hanoi
Objectives
LM-SHIELD2025 aims to bring together leading researchers, engineers, and professionals from academia, government, and industry to discuss and explore the complex challenges and solutions related to privacy issues in large language models (LLMs) and natural language processing (NLP). As LLMs and NLP technologies continue to advance and integrate into various sectors, concerns about privacy breaches, data protection, and ethical use have become paramount. Despite their transformative capabilities, many current systems remain vulnerable to privacy breaches that can expose sensitive information and facilitate malicious activities. To establish trust in these systems, it is essential to develop robust privacy-preserving techniques and ensure compliance with privacy regulations. This workshop will serve as a premier platform for sharing cutting-edge research, innovative approaches, and practical solutions that address privacy issues in LLM and NLP systems.
Scope and Topics
We invite submissions of research papers and works-in-progress that address various aspects of privacy issues in LLM and NLP systems. Topics of interest (relevant to NLP and LLM) include, but are not limited to,
Privacy-Preserving Techniques
Data Management, Anonymization, and Sanitization
Machine Unlearning
Adversarial attacks and Defences
Ethics, Regulatory Aspects, and Responsible AI
Fairness and Accountability
Interpretability and Transparency
AI Agents and Collaborations
Secure and/or Privacy-Preserving Distributed Machine Learning
Decentralized LLMs.
Evaluation and Metrics
Case studies (related to areas such as consistency check, code generation, bug finding, and prompt privacy) or implementations within specific domains and applications: manufacturing and IoT, power grid and energy, medical and healthcare
Emerging challenges in LLM deployment, e.g., knowledge distillation, RAG
Submission Guidelines
We welcome original contributions that have not been published and are not currently under consideration by any other conference or journal. Submissions should be formatted according to the ACM SIGS format and should not exceed 12 pages, including references and appendices. All other formatting must follow the AsiaCCS2025 guidelines at https://asiaccs2025.hust.edu.vn/call-for-papers/.
Ethical Declaration and Consideration
All submitted papers must include a mandatory section addressing Ethical Declaration and Consideration. This section should outline how ethical guidelines have been followed, particularly in relation to the use of LLMs and NLP. Authors must explicitly discuss any ethical concerns, including data privacy, bias mitigation, and the involvement of human subjects or domain experts in their research. Papers without this section will not be considered for review.
Submission Link
Important Dates
Submission Deadline: 21 February 2025
Notification of Acceptance: 8 April 2025
Camera-Ready Deadline: 28 April 2025
Workshop Date: 26 August 2025
The Speakers
Speaker 1: Prof Lam Kwok Yan
Professor Lam is the Associate Vice President (Strategy and Partnerships) and Professor in the College of Computing & Data Science at the Nanyang Technological University (NTU), Singapore. Professor Lam Kwok Yan is a renowned Cyber Security researcher and practitioner. Professor Lam has collaborated extensively with law-enforcement agencies, government regulators, telecommunication operators and financial institutions in various aspects of Infocomm and Cyber Security in the region. He is currently also the Executive Director of the National Centre for Research in Digital Trust (DTC), Director of the Strategic Centre for Research in Privacy-Preserving Technologies and Systems (SCRiPTS), and Director of NTU’s SPIRIT Smart Nation Research Centre. From August 2020 to August 2023, Professor Lam was also on part-time secondment to the INTERPOL as a Consultant at Cyber and New Technology Innovation. He served as the Director of the Nanyang Technopreneurship Center 2019-2022, and as Program Chair (Secure Community) of the Graduate College at NTU 2017-2019. Professor Lam has been a Professor of the Tsinghua University, PR China (2002-2010) and a faculty member of the National University of Singapore and the University of London since 1990. He was a visiting scientist at the Isaac Newton Institute of the Cambridge University and a visiting professor at the European Institute for Systems Security. In 2018, Professor Lam founded TAU Express Pte Ltd, an NTU start-up which specializes in AI and Data Analytics technologies for Smart Cities applications. TAU is a spin-off of the Intelligent Case Retrieval System project, a collaboration between NTU and the Singapore Supreme Court. In 1997, he founded PrivyLink International Ltd, a spin-off company of the National University of Singapore, specializing in e-security technologies for homeland security and financial systems. In 2012, he co-founded Soda Pte Ltd which won the Most Innovative Start Up Award at the RSA 2015 Conference. In 1998, he received the Singapore Foundation Award from the Japanese Chamber of Commerce and Industry in recognition of his R&D achievement in Information Security in Singapore. Prof Lam received his B.Sc. (First Class Honours) from the University of London in 1987 and his Ph.D. from the University of Cambridge in 1990. His research interests include Distributed Systems, IoT Security Infrastructure and Cyber-Physical System Security, Distributed Protocols for Blockchain, Biometric Cryptography, Quantum Computing, Homeland Security and Cybersecurity. In 2020, he authored a Technical Report on the “Application of Quantum Computers for Law Enforcement and Security Communications” for a Singapore Government ministry. Professor Lam is the recipient of the 2022 Singapore Cybersecurity Hall of Fame Award.
Speaker 2: Prof Shui Yu
Shui Yu is Professor of the School of Computer Science in the Faculty of Engineering and Information Technology at UTS, the Deputy Chair of the UTS Research Committee, and is a researcher of cybersecurity, privacy and the networking, communication aspects of Big Data, and applied mathematics for computer science. In 2013, he initiated a new field, networking for big data, in the networking and communication domain. Shui was the leading editor of Networking for Big Data, published in 2015, which supplied an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Many of his research outputs have been adopted by industry, for example, the auto scale strategy of Amazon Cloud against distributed denial-of-service attacks. As the corporate world has increasingly adopted new technologies to analyze and store vast amounts of data in a bid to generate valuable insights and unlock strategic value, Shui has concentrated on the privacy and security concerns associated with big data. Among other issues, he has researched security issues associated with smart grids, which present opportunities to help solve the problems of carbon emissions and the energy crisis. He has also investigated creating anonymous transactions on Blockchain to deal with threats to users’ privacy. His anonymous communication work for web browsing privacy has been cited by more than 200 US patents. He has published two monographs and edited two books, and produced more than 600 technical papers, published in top journals such as IEEE TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. His h-index is 80. Shui serves his research communities in various roles, including serving on the editorial boards of IEEE Communications Surveys and Tutorials, IEEE Communications Magazine and the IEEE Internet of Things Journal, among others. He has been a member of organizing committees for many international conferences, such as the publication chair for IEEE Globecom 2015, IEEE INFOCOM 2016 and 2017, TPC chair for IEEE Big Data Service 2015, and general chair for ACSW 2017. He served as a Distinguished Lecturer of IEEE Communications Society (2018-2021). He is a Distinguished Visitor of IEEE Computer Society (2022-2024), a voting member of IEEE ComSoc Educational Services board, and an elected member of Board of Governors of IEEE Communications Society and IEEE Vehicular Technology Society, respectively. He is a Fellow of IEEE.