Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer

We analyze subliminal transfer in Transformer models, where a teacher embeds hidden traits that can be linearly decoded by a student without degrading main-task performance. Prior work often attributes transferability to global representational simila

Authors

Publication Details

Published
2025-10-14
DOI
https://doi.org/10.36227/techrxiv.176045931.11179043/v1
Primary Topic
Islanding Detection in Power Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer

Laxima Niure Kandel, Berker Peköz, Mustafa İlhan Akbaş, Ayse S Okatan
Islanding Detection in Power Systems
article

Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer

Laxima Niure Kandel, Berker Peköz, Mustafa İlhan Akbaş, Ayse S Okatan
article en

Abstract

We analyze subliminal transfer in Transformer models, where a teacher embeds hidden traits that can be linearly decoded by a student without degrading main-task performance. Prior work often attributes transferability to global representational simila

National Science Foundation
Openalex Percentile: Top 71%
Islanding Detection in Power Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer — Laxima Niure Kandel, Berker Peköz, et al. · (2025) | TGRS Research Map | TGRS