1 citations · 1 across the 5 of their papers we have counts for
6 papers
Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
Self-supervised learning (SSL) countermeasures (CMs) have shown strong performance in recent years. However, they often show degraded performance while facing unseen spoofing attac…
Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models
Noam Tsfaty, Avishai Weizman, Liav Cohen +2
We address the challenge of detecting rare and diverse anomalies in surveillance videos using only video-level supervision. Our dual-backbone framework combines convolutional and t…
Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets
Noam Glazner, Noam Tsfaty, Sharon Shalev +1
We propose a cluster-based frame selection strategy to mitigate information leakage in video-derived frames datasets. By grouping visually similar frames before splitting into trai…
YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
Ori Meiraz, Sharon Shalev, Avishai Weizman
This paper presents a novel Mixture-of-Experts framework for object detection, incorporating adaptive routing among multiple YOLOv9-T experts to enable dynamic feature specializati…
ASVspoof2019 vs. ASVspoof5: Assessment and Comparison
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
ASVspoof challenges are designed to advance the understanding of spoofing speech attacks and encourage the development of robust countermeasure systems. These challenges provide a…
Tandem spoofing-robust automatic speaker verification based on time-domain embeddings
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
Spoofing-robust automatic speaker verification (SASV) systems are a crucial technology for the protection against spoofed speech. In this study, we focus on logical access attacks…