Cover Image

Robustness and Cybersecurity in the EU Artificial Intelligence Act

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nolte, Henrik, Rateike, Miriam, Finck, Michèle
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Cryptography and Security Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The New Frontier of Cybersecurity: Emerging Threats and Innovations
by: Dave, Daksh, et al.
Published: (2023)

Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks
by: Stoltz, Michael
Published: (2024)

Interplay of ISMS and AIMS in context of the EU AI Act
by: Pötsch, Jordan
Published: (2024)

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
by: Nolte, Henrik, et al.
Published: (2025)

A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence
by: Homaei, MohammadHossein, et al.
Published: (2023)

Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
by: Zhang, Andy K., et al.
Published: (2024)

Intolerable Risk Threshold Recommendations for Artificial Intelligence
by: Raman, Deepika, et al.
Published: (2025)

Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments
by: Švábenský, Valdemar, et al.
Published: (2024)

Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)

Robust Safety Monitoring of Language Models via Activation Watermarking
by: Aremu, Toluwani, et al.
Published: (2026)

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation
by: Egea, David, et al.
Published: (2025)

Rethinking Data Protection in the (Generative) Artificial Intelligence Era
by: Li, Yiming, et al.
Published: (2025)

A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects
by: Mulahuwaish, Aos, et al.
Published: (2025)

Frontier AI's Impact on the Cybersecurity Landscape
by: Potter, Yujin, et al.
Published: (2025)

SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence
by: Aghaei, Ehsan, et al.
Published: (2025)

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
by: Brundage, Miles, et al.
Published: (2018)

Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers
by: Rajhans, Mona, et al.
Published: (2026)

A Review of Cybersecurity Incidents in the Food and Agriculture Sector
by: Kulkarni, Ajay, et al.
Published: (2024)

Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
by: Rabanser, Stephan, et al.
Published: (2025)

Password-Activated Shutdown Protocols for Misaligned Frontier Agents
by: Williams, Kai, et al.
Published: (2025)

FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
by: Sanchez Jr., David, et al.
Published: (2025)

Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP
by: Aueawatthanaphisut, Aueaphum
Published: (2025)

Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
by: Kulynych, Bogdan, et al.
Published: (2025)

Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
by: Qayyum, Adnan, et al.
Published: (2022)

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative
by: Tan, Zhen, et al.
Published: (2024)

Making AI-Assisted Grant Evaluation Auditable without Exposing the Model
by: Bicakci, Kemal
Published: (2026)

Inferring Discussion Topics about Exploitation of Vulnerabilities from Underground Hacking Forums
by: Moreno-Vera, Felipe
Published: (2024)

Trustless Audits without Revealing Data or Models
by: Waiwitlikhit, Suppakit, et al.
Published: (2024)

Decentralized autonomous organization and blockchain-based incentivization framework for community-based facilities management
by: Ly, Reachsak, et al.
Published: (2026)

Watermarking Should Be Treated as a Monitoring Primitive
by: Aremu, Toluwani, et al.
Published: (2026)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
by: Nguyen, Thanh Tam, et al.
Published: (2024)

Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers
by: Burgess, Mark A., et al.
Published: (2024)

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
by: Shao, Minghao, et al.
Published: (2024)

SoK: On the Offensive Potential of AI
by: Schröer, Saskia Laura, et al.
Published: (2024)

Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models
by: Barrett, Anthony M., et al.
Published: (2024)

SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest
by: Haryanto, Christoforus Yoga, et al.
Published: (2024)

Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
by: Di, Jimmy Z., et al.
Published: (2022)

Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)

Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric
by: Shvartzshnaider, Yan, et al.
Published: (2024)

A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures
by: Wei, Peng, et al.
Published: (2026)