Fabio Brau

Orcid: 0000-0002-9948-111X

According to our database1, Fabio Brau authored at least 16 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Latent-space Attacks for Refusal Evasion in Language Models.
CoRR, May, 2026

BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated Learning.
CoRR, February, 2026

SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network.
Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2026), 2026

SOM Directions Are Better than One: Multi-Directional Refusal Suppression in Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking.
CoRR, December, 2025

S2AP: Score-space Sharpness Minimization for Adversarial Pruning.
CoRR, October, 2025

Video Deblurring by Sharpness Prior Detection and Edge Information.
CoRR, January, 2025

Exploiting edge features for transferable adversarial attacks in distributed machine learning.
Internet Things, 2025

TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology.
AI Soc., August, 2023

On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Robust-by-Design Classification via Unitary-Gradient Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Forecasting Operation Metrics for Virtualized Network Functions.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions.
Proceedings of the Cloud Computing and Services Science - 10th International Conference, 2020


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