Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jevnisek, Amir"'
Diffusion models dominate the space of text-to-image generation, yet they may produce undesirable outputs, including explicit content or private data. To mitigate this, concept ablation techniques have been explored to limit the generation of certain
Externí odkaz:
http://arxiv.org/abs/2412.00782
Vector image representation is a popular choice when editability and flexibility in resolution are desired. However, most images are only available in raster form, making raster-to-vector image conversion (vectorization) an important task. Classical
Externí odkaz:
http://arxiv.org/abs/2312.11334
MLaaS Service Providers (SPs) holding a Neural Network would like to keep the Neural Network weights secret. On the other hand, users wish to utilize the SPs' Neural Network for inference without revealing their data. Multi-Party Computation (MPC) of
Externí odkaz:
http://arxiv.org/abs/2304.10442
Autor:
Jevnisek, Amir, Avidan, Shai
The increasing popularity of facial manipulation (Deepfakes) and synthetic face creation raises the need to develop robust forgery detection solutions. Crucially, most work in this domain assume that the Deepfakes in the test set come from the same D
Externí odkaz:
http://arxiv.org/abs/2210.05478
Publikováno v:
2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel (IEEEI); 2014, p1-5, 5p
