[RAISE 2026 CfP] One week left to submit to the first round - Workshop on Real-world AI Security and Engineering for Cybersecurity Systems @ ESORICS 2026

[Lorenzo CAZZARO]

The deadline for the first round of submissions is approaching! One week left. We look forward to receiving your submissions on real-world AI security and engineering for cybersecurity systems (details below).

-- Apologies for cross-postings --

1st Workshop on Real-world AI Security and Engineering for Cybersecurity Systems (RAISE 2026), co-located with ESORICS 2026, Rome, Italy, September 17-18, 2026

*** Call for Papers ***

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly central to modern cybersecurity systems, where they support security-critical decisions and therefore require strong robustness, reliability, and trustworthiness. However, securing AI-based cybersecurity mechanisms in real-world deployments is difficult because they are often part of complex pipelines involving multiple AI and rule-based components, control logic, data flows, and human oversight. Operational constraints and evolving threats can reveal vulnerabilities that isolated or benchmark-based evaluations miss, with many risks emerging only at the system level under realistic conditions.

The 1st Workshop on Real-world AI Security and Engineering for Cybersecurity Systems (RAISE 2026), co-located with ESORICS 2026, aims to bring together researchers and practitioners from academia, industry, and public institutions to discuss recent advances and open challenges in the design, deployment, evaluation, and protection of AI-based cybersecurity systems. The workshop focuses on understanding the security properties, limitations, and failure modes of AI-based components as they are designed and operated in realistic security environments, not in isolation, and at scale.

RAISE welcomes contributions that critically analyze how AI-based cybersecurity mechanisms fail, degrade, or are exploited in practice, as well as work that explores how AI can be reliably and securely leveraged to strengthen cybersecurity systems under real-world operational constraints. Both defensive and offensive perspectives are within scope, provided that they are grounded in realistic threat models, deployment assumptions, and system constraints. The workshop particularly encourages submissions from industrial practitioners and applied researchers, whose insights are essential for understanding operational realities, system integration challenges, and real-world trade-offs. In addition to traditional research papers, we explicitly welcome experience reports, empirical studies, preliminary results, and negative or unexpected findings that shed light on the gap between academic assumptions and operational reality.

Topics of interest include (but are not limited to):
* AI-driven cybersecurity systems under real-world operational constraints.
* Threat modeling and adversarial exposure of AI-based security systems.
* Evaluation methodologies under operational and adversarial constraints.
* Trust, explainability, and compliance in deployed AI-based security systems.
* Defensive engineering and operational hardening of AI-based cybersecurity systems.
* Human–AI interaction, data pipelines, and model lifecycle security.

Important Dates:
* Paper submission deadline: June 22, 2026 AoE
* Notification to authors: July 22, 2026 AoE
* Camera-ready deadline: August 7, 2026 AoE
Check our website for information about the second round of submissions.

Submission Categories:
* Full papers (up to 12 pages)
* Non-archival papers (up to 6 pages)
Accepted full papers will appear in the Springer LNCS workshop proceedings. Non-archival submissions may include previously published or concurrently submitted work and will not appear in the proceedings.

Webpage: https://raise-workshop.github.io/

Workshop Organizers
* Antonio Emanuele Cinà, University of Genoa, Italy
* Lorenzo Cazzaro, University of Luxembourg, Luxembourg
* Bhupendra Acharya, University of Louisiana at Lafayette, USA

Steering Committee
* Sadia Afroz, Gen Digital Inc.
* Giovanni Apruzzese, Reykjavík University
* Maxime Cordy, University of Luxembourg
* Engin Kirda, Northeastern University
* Andrew Paverd, Microsoft
* Vera Rimmer, KU Leuven
* Fabio Roli, University of Genoa