Research
Academic papers, new techniques, benchmarks, and theoretical findings in AI/LLM security.
Academic papers, new techniques, benchmarks, and theoretical findings in AI/LLM security.
52 items
This paper replicates and extends the framework of Willison et al. (2018) on employee computer abuse intentions, testing it with 401 Saudi employees. It applies the replication process of Dennis and Valacich (2014) to examine Organizational Justice Theory, Deterrence Theory, and Techniques of Neutralization. The authors report significant cross-cultural variation in how these mechanisms are perceived, suggesting cultural and policy contexts act as boundary conditions for security behavior.
A survey of 500 U.S. adults, analyzed with partial least squares structural equation modeling, tests why patients hesitate to share personal health information with health information technology. Autonomy of HIT use raises expected positive outcomes and lowers privacy concerns, while perceived tracking raises concerns. Perceived technological and regulatory protections raise expected positive outcomes, and the study ties these evaluations to internal and environmental conditions.
A panel report from the ERCIS Annual Workshop 2025 in St. Gallen, Switzerland, documents how 55 Information Systems scholars reflected on research impact through a World Café format with three breakout sessions. The authors develop a framework that maps six impact themes against the four phases of Benbya et al. (2026): planning, delivering, measuring, and communicating. The matrix is presented as a self-assessment tool, and the findings stress sustained stakeholder partnerships and problem-driven research design.
An interdisciplinary panel of five experts at MWAIS 2024 examined remote patient monitoring (RPM), which uses information and communication technologies to monitor patients' health remotely. The panel found a tension between RPM's potential and its realized value, driven by a distributed health data ecosystem and shifts in health delivery practices. The authors identify research directions and methodological approaches for information systems researchers.
This design study reports on building a data space for the cultural sector, where actors differ widely in size, structure, digital maturity and technical capability. The authors designed and qualitatively evaluated two foundational artifacts, a network architecture and a data exchange standard, to balance interoperability with those differing capabilities. They derive a design principle: data spaces should include heterogeneous actors by simplifying participation and lowering entry barriers, with fair access regardless of size, resources or technical capability.
This research paper argues that Information Systems scholars have largely overlooked technology-facilitated domestic and family abuse (TFDFA). It cites ANROWS findings that one in two Australian adults report victimisation through technology-facilitated abuse and one in four admit perpetration. The authors call for an inclusive IS research agenda that develops frameworks, interventions and design principles to mitigate abuse.
A Professional Development Workshop at the Academy of Management 2025 meeting in Copenhagen examined twin transition, the alignment of digital and sustainability transformations. The workshop reported five recurring themes: conceptual ambiguity, metrics and data, rhetoric-practice gaps, politics and power, and researcher reflexivity. The authors identify four pitfalls that threaten progress: technological determinism, ideological overconfidence, fragmentation and analysis-paralysis.
Researchers Muhammad Khalid Anser, Sajid Ali, Yi Chen and Raima Nazar examine cybercrime during pandemic-era uncertainty. The source text provided here contains only the publication metadata (Computers & Security, available online 15 May 2026), so the study's method and findings cannot be stated from it.
Yan, Yang, Cao, Meng and Sun, in the Journal of Information Security and Applications (July 2026), study auditable data sharing across domains. The source text provided gives no method, findings or numbers beyond the title and bibliographic details.
This paper proposes a policy-based conjunctive scheme for digital forgetting of co-owned data. It appears in ACM Transactions on Privacy and Security, Volume 29, Issue 3, pages 1-37, August 2026. The source text provides no further details on its method or findings.
Zhe Jiang, Kai Zhang, Junqing Gong and Haifeng Qian published a paper on laconic attribute-based private set intersection (PSI) on authenticated inputs and applications in the Journal of Information Security and Applications, Volume 100, in July 2026. The source text provided contains only publication metadata, so the research question, method and findings cannot be described from it.
Yuan, Chen, Zhao and Zhang published an empirical study in Computers & Security, available online 14 May 2026, examining attack mitigations in compiled Rust and Go binaries. The source text provided here contains only the publication metadata and author list, so the research question, method and findings cannot be stated from it.
The paper proposes a twin driver approach in which paired TEE and REE drivers cooperate to give trusted execution environments such as TrustZone secure, efficient driver support. It introduces DrvAna, an LLVM-based data flow analysis framework that uses a value-type tree to analyze shared driver state, and a Linux driver runtime (LDR) that sandboxes the TEE driver using ARM domain access control. Adapting six existing Linux drivers to LDR on an NXP IMX6Q SABRE-SD board, the authors report performance comparable to Linux with negligible overhead.
A sequential mixed-methods study surveyed 350 working MBA students (averaging 5 years' experience) and 42 information systems graduates on how professionals respond to GenAI integration. Structural equation modeling found GenAI feedback raises self-efficacy and motivation while also increasing perceived devaluation, and skill variety did not predict motivation. The authors extend Job Characteristics Theory and Self-Efficacy Theory and introduce perceived devaluation as a construct grounded in Self-Determination Theory.
An ACPHIS-convened panel of Australian information systems academics examined institutional readiness, policy gaps and opportunities for generative AI in higher education at ACIS 2025. The panel drew on interim findings from an ACPHIS-sponsored national project involving 45 public universities across Australia and New Zealand, along with systematic literature reviews and policy analyses. Key themes include responsible AI use, graduate skill development, learning assurance, privacy, intellectual property and security.
A panel report from a World Café symposium at the European Academy of Management 2025 Conference examines how academics experience AI reshaping teaching, research and academic service. Participants saw opportunities to boost teaching and research productivity but also voiced concern about ethical and professional risks. The authors propose a research agenda for Information System scholars covering human–AI collaboration, responsible and trustworthy AI tools, cross-context adoption patterns and career effects for early-career academics.
The source is a survey titled "Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks," published in ACM Computing Surveys, Volume 58, Issue 12, pages 1-36, September 2026. The provided text contains only the publication details and no article content describing its findings or methods.