Exciting Discoveries in AI Security and Privacy to be Focus of New Journal from ACM
World’s Largest Computing Society Aims to Fill a Critical Research Need
New York, NY, June 24, 2025 – ACM, the Association for Computing Machinery, is pleased to announce a new journal, ACM Transactions on AI Security and Privacy (TAISAP). As AI technologies have become pervasive, research on keeping these systems secure presents a critical need in both industry and society. Similarly, research on how AI can help facilitate improved cybersecurity capabilities is critical. In keeping with ACM’s goal of making all its publications open access by January 2026, all TAISAP papers will be published open access with no publication charges for the first three years (2026-2029).
The primary scope of the TAISAP journal is to develop methods for assessing the security of AI models, AI-enabled systems, and broader AI environments. In this context, security includes: the security of AI models, such as adversarial attacks on AI and technical vulnerabilities of AI; privacy concerns in AI model training and deployment; and the deployment of AI and machine learning in cybersecurity applications, including security operations centers and cyber threat intelligence.
TAISAP aims to explore a wide array of research, technical, behavioral, and economic methods to evaluate the security and privacy of facets of AI, and will include research on models, systems, and environments. TAISAP also seeks to publish high-quality articles related to the development of AI-enabled analytics methods based on machine learning, deep learning, large language models, network science, and other related methods for different cybersecurity applications.
TAISAP welcomes both theoretical and applied contributions. Theoretical papers may introduce new insights into threats and defenses that affect AI security and privacy in the specified areas. Applied contributions might present innovative methods for assessing the security and privacy of AI models and systems. Additionally, AI for security applications is an important element to this journal, including AI-enabled analytics for various aspects of cybersecurity such as cyber threat intelligence, vulnerability management, security operations centers, authentication, open source software, and more. Multi-disciplinary and interdisciplinary submissions from scholars across various fields are welcome.
Broader socio-technical themes such as AI safety, dependability, and governance are considered out of scope for TAISAP. Each submission to TAISAP should aim to enhance understanding of AI security and privacy in one or more of these aforementioned areas, employing and/or developing either practical or theoretical approaches.
The Co-Editors-in-Chief of TAISAP are Murat Kantarcioglu, Virginia Tech; Patrick McDaniel, University of Wisconsin, Madison; and Sagar Samtani, Indiana University, Bloomington. TAISAP also includes 17 Associate Editors drawn from countries around the world—including China, Germany, Italy, Liechtenstein, Switzerland, and the United States.
The launch of TAISAP is part of a broader initiative by ACM to add a new suite of journals covering various facets of AI. TAISAP will be open for submissions in the near future.
ACM publishes more than 70 scholarly peer-reviewed journals in dozens of computing and information technology disciplines. ACM's high-impact, peer-reviewed journals constitute a vast and comprehensive archive of computing innovation, covering emerging and established computing research for both practical and theoretical applications. ACM journal editors are thought leaders in their fields, and ACM's emphasis on rapid publication ensures minimal delay in communicating exciting new ideas and discoveries.
About ACM
ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting educators, researchers, and professionals to inspire dialogue, share resources, and address the field's challenges. ACM strengthens the computing profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
Contact:
Jim Ormond
212-626-0505
[email protected]