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Mohammad Ebrahimi Fard

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Technische Universität Berlin
Machine Learning and Security (MLSec)

Franklinstraße 28/29, 10587 Berlin
https://mlsec.org/

© Ebrahimi Fard

Mohammad Ebrahimi Fard

Doctoral Researcher

Affiliation:  BIFOLD

Mohammad Ebrahimi Fard, Felix Weissberg, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck

Shape-Shifting Malicious Code in Software Backdoors via Language Models

June 03, 2026
https://mlsec.tu-berlin.de/docs/2026-asiaccs.pdf

News
BIFOLD Update| Jun 02, 2026

BIFOLD Research Reveals a Blind Spot in Software Security

Malicious code need not be concealed within software itself. It can be embedded in seemingly harmless documentation. BIFOLD researchers demonstrate how large language models can hide executable functionality in natural-looking files, enabling difficult-to-detect attacks during the software build process. Presented at ACM AsiaCCS 2026.