src_fb50be84b835134c75
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 07, 2026 04:00 UTC
- Retrieved
- Oct 08, 2026 03:43 UTC
Adaptive Model Inversion Attacks Generalize a Privacy-Robustness Tradeoff
arXiv:2610.07677v1 Announce Type: cross Abstract: In this paper, we show that standard evaluations of high-resolution Model Inversion Attacks (MIAs) significantly underestimate training-data privacy leakage. State-of-the-art privacy defenses, standard training techniques such as MixUp and Adversarial Training, and undefended models all leak training images at rates 1.16 to 6.59 times higher on Fac
Reference details
- Source category
- Research & news
- Report title
Adaptive Model Inversion Attacks Generalize a Privacy-Robustness Tradeoff- First reported
- Oct 07, 2026 04:00 UTC
- Last reported
- Oct 07, 2026 04:00 UTC
- Catalog updated
- Oct 08, 2026 03:43 UTC
- Record ID
4d30fb85435c99aed4e824cdf1cb6240982edb6e213a06e1b4580f268be3dc64
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