10 citations · 14 across the 7 of their papers we have counts for
15 papers · 1 filter
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…
How Low Can We Go? Pixel Annotation for Semantic Segmentation
Daniel Kigli, Ariel Shamir, Shai Avidan
How many labeled pixels are needed to segment an image, without any prior knowledge? We conduct an experiment to answer this question. In our experiment, an Oracle is using Active…
DeepBBS: Deep Best Buddies for Point Cloud Registration
Itan Hezroni, Amnon Drory, Raja Giryes +1
Recently, several deep learning approaches have been proposed for point cloud registration. These methods train a network to generate a representation that helps finding matching p…
Reducing ReLU Count for Privacy-Preserving CNN Speedup
Inbar Helbitz, Shai Avidan
Privacy-Preserving Machine Learning algorithms must balance classification accuracy with data privacy. This can be done using a combination of cryptographic and machine learning to…
Rethinking FUN: Frequency-Domain Utilization Networks
Kfir Goldberg, Stav Shapiro, Elad Richardson +1
The search for efficient neural network architectures has gained much focus in recent years, where modern architectures focus not only on accuracy but also on inference time and mo…
Geometric Adversarial Attacks and Defenses on 3D Point Clouds
Itai Lang, Uriel Kotlicki, Shai Avidan
Deep neural networks are prone to adversarial examples that maliciously alter the network's outcome. Due to the increasing popularity of 3D sensors in safety-critical systems and t…