Author

Netanel Raviv

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#machine learning Preprint Oct 2026

Protecting Sensitive Data in Image Synthesis via PAC-Private Adaptation for Diffusion Models

Synthetic data are increasingly used as an alternative to sharing sensitive records. However, synthetic data generation does not guarantee privacy, as diffusion models trained or adapted on sensitive data remain susceptible to reconstruction attacks. Moreover, while approaches that use differential privacy (DP), such a...

Bo-Ming Miao, Tao Zhang, Netanel Raviv et al. · 0 citations

Preprint Sep 2026

Capacity Achieving Torn Paper Codes

In the torn paper channel, a codeword is cut at random locations, and the resulting error-free fragments are delivered to the decoder as an unordered multiset. Although the capacity of this channel can be achieved using random code, decoding such codes generally requires exponential time. The interleaved-pilot construc...

Jun-Sheng Liu, Netanel Raviv · 0 citations