All Outputs (2)

Feature vulnerability and robustness assessment against adversarial machine learning attacks (2021)
Conference Proceeding
Mccarthy, A., Andriotis, P., Ghadafi, E., & Legg, P. (2021). Feature vulnerability and robustness assessment against adversarial machine learning attacks. In 2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA). https://doi.org/10.1109/CyberSA52016.2021.9478199

Whilst machine learning has been widely adopted for various domains, it is important to consider how such techniques may be susceptible to malicious users through adversarial attacks. Given a trained classifier, a malicious attack may attempt to craf... Read More about Feature vulnerability and robustness assessment against adversarial machine learning attacks.

Partially structure-preserving signatures: Lower bounds, constructions and more (2021)
Conference Proceeding
Ghadafi, E. (2021). Partially structure-preserving signatures: Lower bounds, constructions and more. In K. Sako, & N. O. Tippenhauer (Eds.), In Applied Cryptography and Network Security (284-312). https://doi.org/10.1007/978-3-030-78372-3_11

In this work we first provide a framework for defining a large subset of pairing-based digital signature schemes which we call Partially Structure-Preserving Signature (PSPS) schemes. PSPS schemes are similar in nature to structure-preserving signatu... Read More about Partially structure-preserving signatures: Lower bounds, constructions and more.