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20192026
most citedPrivate, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging

42 citations · 80 across the 28 of their papers we have counts for

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cs.CR2026

Your Privacy Depends on Others: Collusion Vulnerabilities in Individual Differential Privacy

Johannes Kaiser, Alexander Ziller, Eleni Triantafillou +2

Individual Differential Privacy (iDP) promises users control over their privacy, but this promise can be broken in practice. We reveal a previously overlooked vulnerability in samp…