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20232026
most citedPrivacy-Preserving in Blockchain-based Federated Learning Systems

77 citations · 131 across the 21 of their papers we have counts for

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18 papers · 1 filter

cs.CR2026

CVE-TTP KG: Knowledge Graph Linking Software Vulnerabilities to Attack Behaviors

Swati Yadav, Dincy R. Arikkat, Basant Agarwal +3

In the evolving threat landscape, adversaries exploit software vulnerabilities to launch sophisticated attacks, challenging traditional defenses. Although databases like CVE and NV…

cs.CR2026

An AI-Based Solution for Secure Service Provisioning in IoT

Marco Arazzi, Mert Cihangiroglu, Serena Nicolazzo +2

As the Internet of Things (IoT) continues its rapid expansion, the attack surface grows accordingly, with emerging threats targeting smart objects and their interactions. In this e…

cs.CR2026

A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution

Jithin S., Roshin Sleeba C., Anvin Mariya P. B. +4

Malware classification remains a challenging problem due to its inherent heterogeneity, the presence of packed binaries, and the diverse distribution of malware families. Tradition…

cs.CR2026

Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks

Nandakrishna Giri, Asmitha K. A., Serena Nicolazzo +2

Machine learning-based static malware detectors remain vulnerable to adversarial evasion techniques, such as metamorphic engine mutations. To address this vulnerability, we propose…

cs.CR2026

Security in LLM-as-a-Judge: A Comprehensive SoK

Aiman Al Masoud, Antony Anju, Marco Arazzi +6

LLM-as-a-Judge (LaaJ) is a novel paradigm in which powerful language models are used to assess the quality, safety, or correctness of generated outputs. While this paradigm has sig…

cs.CR2025

GShield: Mitigating Poisoning Attacks in Federated Learning

Sameera K. M., Serena Nicolazzo, Antonino Nocera +2

Federated Learning (FL) has recently emerged as a revolutionary approach to collaborative training Machine Learning models. In particular, it enables decentralized model training w…