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cs.LG2026
AV-SLP: Alignment-Aware Variational Modeling for Disentangled Sign Language Production
Sümeyye Meryem TaÅyürek, Enis Mücahid Ä°skender, Hacer Yalim Keles
Building upon recent structural disentanglement frameworks for sign language production, we propose AV-SLP, an alignment-aware variational framework that learns articulator-w…
cs.LG2025
Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization
Sumeyye Meryem Tasyurek, Tugce Kiziltepe, Hacer Yalim Keles
In this work, we propose DARSLP, a simple gloss-free, transformer-based sign language production (SLP) framework that directly maps spoken-language text to sign pose sequences. We…
cs.LG2024
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
Eda Yilmaz, Hacer Yalim Keles
We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial exam…