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Alina Oprea

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#machine learning Preprint Sep 2026

The Privacy Fallacy of Crowdsourced Fine-Tuning: Extracting Proprietary Data via Topic-Based Poisoning

It is shown that seemingly benign crowdsourced contributions can amplify leakage of other records while remaining difficult to identify through data filtering, demonstrating that seemingly benign crowdsourced contributions can amplify leakage of other records while remaining difficult to identify through data filtering...

Sae Furukawa, Alina Oprea · 0 citations
#artificial intelligence Preprint Sep 2026

Beyond Predictable Paths: Redefining AI Security Incident Reporting for Agents

AI agents are being deployed rapidly, accompanied by a growing number of AI-specific attacks and corresponding incidents. As incident reporting becomes increasingly important for legal compliance, governance, accountability, and security; current frameworks must be adapted to the unique characteristics of AI agents. In...

Anastasia Pustozerova, E. Bagdasarian, Luca Beurer-Kellner et al. · 0 citations

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