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Toluwani Aremu

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#machine learning Preprint Oct 2026

Constitution-Guided Watermarking

Watermarking enables language model providers to identify text generated by their models. However, its desired properties can conflict (\ie~stronger watermark signals can degrade text quality), while designs that resist editing may also facilitate forgery. Providers address these trade-offs by choosing configurations t...

Toluwani Aremu, Samuele Poppi, Nils Lukas · 0 citations

Watermarking Should Be Treated as a Monitoring Primitive

It is shown that even zero-bit watermarking supports internal attribution under per-entity multi-key deployments without explicitly encoding identity, and external identification in selected text and image configurations is demonstrated.

Toluwani Aremu, Nils Lukas, Jie Zhang · 1 citation
Preprint Aug 2026

ReACT-CLIP: Response-Aware Test-Time Defense for Vision--Language Models

This work introduces ReACT-CLIP, a response-conditioned test-time defense that separately determines how strongly each input should be corrected and whether defensive intervention is necessary, and quantifies this variation using a prediction-instability score computed by Jensen--Shannon divergence and combines it with...

H. Malik, Toluwani Aremu, Samuele Poppi et al. · 0 citations

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