Author

F. Nait-Abdesselam

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#diffusion models Open access Oct 2026

Evasion attacks on generative safeguards: target-concept reappearance under structural control in grey-box settings

Concept erasure has emerged as a practical safeguard for suppressing unsafe or unwanted concepts in text-to-image diffusion models. However, existing methods are primarily designed for text-triggered generation and are usually evaluated under text-only prompting. In this paper, we identify a practical robustness gap by...

Qi-Qi Bao, Jiao-Ling Li, Yun-Xin Zhang et al. · Cybersecurity · 0 citations

#machine learning Open access Mar 2025

Trust Under Siege: Label Spoofing Attacks Against Machine Learning for Android Malware Detection

Concerns are raised about the trustworthiness of ML training processes based on AV annotations and it is argued that further investigation is needed to develop more reliable labeling strategies.

Tianwei Lan, Luca Demetrio, F. Nait-Abdesselam et al. · IEEE Transactions on Informa... · 5 citations

Preprint Aug 2026

An Adaptive Gradient Clipping and Noise Injection Mechanism for Differentially Private Federated Learning

It is demonstrated that round-wise, layer-wise adaptation can improve the privacy-accuracy-efficiency trade-off of differentially private federated learning.

Wenjing Wei, Alla Jammine, F. Nait-Abdesselam · 0 citations