5 papers
Scalable Black-Box Model Attribution for Images
Asaf Livne, Amir Jevnisek, Shai Avidan
The rapid proliferation of generative models raises the model attribution problem: given only an image, can we determine which model produced it? We propose a lightweight CNN to so…
Coordinate Descent for Network Linearization
Vlad Rakhlin, Amir Jevnisek, Shai Avidan
ReLU activations are the main bottleneck in Private Inference that is based on ResNet networks. This is because they incur significant inference latency. Reducing ReLU count is a d…
Memories of Forgotten Concepts
Matan Rusanovsky, Shimon Malnick, Amir Jevnisek +2
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 abl…
Optimize and Reduce: A Top-Down Approach for Image Vectorization
Or Hirschorn, Amir Jevnisek, Shai Avidan
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…
Aggregating Layers for Deepfake Detection
Amir Jevnisek, Shai Avidan
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…