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20232026
most citedBack-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Deep-Fake CAPTCHA: Mitigating Next-Generation Social Engineering Attacks

Guy Frankovits, Lior Yasur, Fred M. Grabovski +1

This paper presents DF-CAPTCHA, an active defense against real-time deepfake impersonation in voice and video calls. Instead of passively searching for artifacts, DF-CAPTCHA prompt…

cs.DS2024

Validation and Implementation of ILBFS

Fred Matanel Grabovski, Lior Yasur

Recursive Best-First Search (RBFS) is a heuristic search algorithm known for its efficient memory usage compared to traditional best-first search methods like A*. Despite its theor…

eess.IV2024★ 1 cited

Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes

Fred Grabovski, Lior Yasur, Guy Amit +1

Recent progress in generative models has made it easier for a wide audience to edit and create image content, raising concerns about the proliferation of deepfakes, especially in h…

cs.CV2024

DiffFinger: Advancing Synthetic Fingerprint Generation through Denoising Diffusion Probabilistic Models

Freddie Grabovski, Lior Yasur, Yaniv Hacmon +2

This study explores the generation of synthesized fingerprint images using Denoising Diffusion Probabilistic Models (DDPMs). The significant obstacles in collecting real biometric…

cs.CR2023

Deepfake CAPTCHA: A Method for Preventing Fake Calls

Lior Yasur, Guy Frankovits, Fred M. Grabovski +1

Deep learning technology has made it possible to generate realistic content of specific individuals. These `deepfakes' can now be generated in real-time which enables attackers to…