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ANUBIS 2026

Type Conference
Organization Inria
Event Format Physical
Size 51 - 100 approximate delegates
Registration Not Free
SPEAKING: FREE-TO-SPEAK

Search for other Cybersecurity Conferences in Italy in 2026-2027.

Conference Description

Key Takeaways

  • International workshop focused on intrusion detection and response system evaluation
  • Emphasis on rigorous, reproducible, and fair assessment methodologies
  • Addresses AI-based security solutions and benchmarking challenges
  • Brings together multidisciplinary cybersecurity professionals and researchers
  • Co-located with ESORICS 2026 and supported by the “Superviz” project

The 2nd International Workshop on Assessment with New methodologies, Unified Benchmarks, and environments, of Intrusion detection and response Systems (ANUBIS) is a specialized event dedicated to advancing the evaluation of cybersecurity solutions. Co-located with ESORICS 2026 in Rome, Italy, and supported by the France 2030 “Superviz” project, this workshop provides a platform for experts to address the pressing need for standardized and reproducible assessment practices in the field of intrusion detection and response.

Workshop Focus and Objectives

ANUBIS is designed to tackle the challenges associated with evaluating modern intrusion detection and response systems, particularly those leveraging artificial intelligence. The workshop aims to foster discussions on fairness, explainability, and trustworthiness in cybersecurity evaluations, encouraging the development of robust methodologies and benchmarks.

Participants will explore a range of topics, including threat data collection, privacy-preserving dataset methods, AI-driven synthetic data generation, and formal evaluation metrics. The event also highlights the importance of reproducible experiments and the use of digital twins and platforms for security research.

Core Topics and Themes

  • Threat data collection software and methodologies
  • Evaluation and quality of security datasets
  • Privacy-preserving approaches to data collection
  • AI techniques for synthetic data generation
  • Data representation and formal evaluation methods
  • Benchmarks, metrics, and reproducibility in dynamic environments
  • Assessment of AI approaches such as reinforcement and federated learning

Audience and Community Impact

The workshop is tailored for researchers, practitioners, and professionals in cybersecurity, privacy, machine learning, data mining, and related fields. Attendees include security analysts, data scientists, academic researchers, and engineers from IT, OT, IoT, and telecom sectors.

By promoting education, thought leadership, and community building, ANUBIS aims to bridge gaps in current evaluation practices and foster collaboration among experts. The event encourages the sharing of best practices and the development of new standards for the cybersecurity community.

Event Format and Experience

ANUBIS is an in-person, workshop-led event featuring research paper presentations and interactive discussions. Its co-location with a major academic conference enhances opportunities for networking and multidisciplinary engagement, making it a significant gathering for those dedicated to advancing cybersecurity evaluation methodologies.