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Tomohiro Morikawa

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Preprint Jul 2026

Don't Trust the AI Ecosystem: Analyzing Privacy Leakage in Compromised Open-Source Components

GradLock is introduced, a novel training-time injection attack that stealthily injects sensitive training data directly into the model parameters and employs dynamic gradient locking to prevent payload degradation during the optimization process.

Jin-Seong Kim, Han-Ju Lee, Seok-Won Hong et al. · 0 citations
Open access Jul 2026

A Comprehensive Defense Framework Against Poisoning Backdoor Attacks in Federated Learning

This work employs the novel dimensionality reduction technique UMAP and a stringent filtering mechanism to effectively identify and exclude potential malicious participants without relying on traditional noise addition methods and demonstrates that the proposed method maintains high main task accuracy while effectively mitigating backdoor attacks across various attack scenarios.

Chun-I Fan, Hsin-Yen Wang, Tomohiro Morikawa · 0 citations