---
_id: '6998'
abstract:
- lang: eng
  text: Instruction-guided image editing models have made photorealistic facial manipulation
    accessible through natural language prompts, substantially lowering the barrier
    to misuse in the cybersecurity landscape. These systems facilitate attacks such
    as identity theft, phishing, misinformation, and social engineering, while also
    challenging existing forensic methods that were not designed for prompt-driven
    edits. However, current facial forensics datasets do not cover this manipulation
    paradigm. We present ADRIAN InstructFace-Edit, a dataset of 36,000 edited facial
    image pairs at 1024x1024 resolution generated by four state-of-the-art instruction-guided
    image editing models (FLUX.1-Kontext-dev, FLUX.2-dev, Qwen-Image-Edit-2511, and
    Step1X-Edit-v1.2) across six semantically distinct edit types, of which 18,768
    are annotated as high quality. The full dataset, including all pairs with quality
    labels, is made publicly available. To improve data quality, we design a multi-stage
    filtering pipeline that integrates structural, semantic, and multimodal large
    language model–based quality checks, with thresholds derived empirically from
    a human-annotated subset of 1,500 images. Because open-weight vision-language
    models perform poorly on VIEScore evaluation out of the box, we fine-tune a LoRA
    adapter for Qwen3-VL-32B-Instruct that improves within +/-1 Semantic Consistency
    accuracy from near-random to 73.2%. We will publicly release the dataset, generation
    pipeline, and LoRA adapter to support future research on training, evaluating,
    and stress-testing detectors for instruction-guided facial manipulation.
author:
- first_name: Viktoriia
  full_name: Vovchenko, Viktoriia
  id: '252442'
  last_name: Vovchenko
  orcid: 0009-0004-9798-1112
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229244
- first_name: Vincenzo
  full_name: Barberi, Vincenzo
  last_name: Barberi
- first_name: Sergej
  full_name: Schultenkämper, Sergej
  id: '236164'
  last_name: Schultenkämper
  orcid: 0009-0005-6858-9813
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229246
- first_name: Frederik
  full_name: Bäumer, Frederik
  id: '241734'
  last_name: Bäumer
  orcid: 0000-0002-0826-0144
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229247
citation:
  alphadin: '<span style="font-variant:small-caps;">Vovchenko, Viktoriia</span> ;
    <span style="font-variant:small-caps;">Barberi, Vincenzo</span> ; <span style="font-variant:small-caps;">Schultenkämper,
    Sergej</span> ; <span style="font-variant:small-caps;">Bäumer, Frederik</span>:
    ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images.
    In: <i>2026 The First International Conference on Security and Cybersecurity in
    the AI and Digital Context</i>'
  ama: 'Vovchenko V, Barberi V, Schultenkämper S, Bäumer F. ADRIAN InstructFace-Edit
    - Towards Robust Detection of AI-Manipulated Face Images. In: <i>2026 The First
    International Conference on Security and Cybersecurity in the AI and Digital Context</i>.'
  apa: Vovchenko, V., Barberi, V., Schultenkämper, S., &#38; Bäumer, F. (n.d.). ADRIAN
    InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In
    <i>2026 The First International Conference on Security and Cybersecurity in the
    AI and Digital Context</i>. Porto, Portugal.
  bibtex: '@inproceedings{Vovchenko_Barberi_Schultenkämper_Bäumer, title={ADRIAN InstructFace-Edit
    - Towards Robust Detection of AI-Manipulated Face Images}, booktitle={2026 The
    First International Conference on Security and Cybersecurity in the AI and Digital
    Context}, author={Vovchenko, Viktoriia and Barberi, Vincenzo and Schultenkämper,
    Sergej and Bäumer, Frederik} }'
  chicago: Vovchenko, Viktoriia, Vincenzo Barberi, Sergej Schultenkämper, and Frederik
    Bäumer. “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated
    Face Images.” In <i>2026 The First International Conference on Security and Cybersecurity
    in the AI and Digital Context</i>, n.d.
  ieee: V. Vovchenko, V. Barberi, S. Schultenkämper, and F. Bäumer, “ADRIAN InstructFace-Edit
    - Towards Robust Detection of AI-Manipulated Face Images,” in <i>2026 The First
    International Conference on Security and Cybersecurity in the AI and Digital Context</i>,
    Porto, Portugal.
  mla: Vovchenko, Viktoriia, et al. “ADRIAN InstructFace-Edit - Towards Robust Detection
    of AI-Manipulated Face Images.” <i>2026 The First International Conference on
    Security and Cybersecurity in the AI and Digital Context</i>.
  short: 'V. Vovchenko, V. Barberi, S. Schultenkämper, F. Bäumer, in: 2026 The First
    International Conference on Security and Cybersecurity in the AI and Digital Context,
    n.d.'
conference:
  end_date: 2026-06-11
  location: Porto, Portugal
  name: 2026 The First International Conference on Security and Cybersecurity in the
    AI and Digital Context
  start_date: 2026-06-05
date_created: 2026-06-19T16:23:04Z
date_updated: 2026-06-19T16:23:58Z
keyword:
- Deepfakes
- Image forensics
- Diffusion models
- Computer vision
language:
- iso: eng
publication: 2026 The First International Conference on Security and Cybersecurity
  in the AI and Digital Context
publication_status: accepted
status: public
title: ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face
  Images
type: conference
user_id: '252442'
year: '2026'
...
---
_id: '649'
article_number: '155892502091087'
article_type: review
author:
- first_name: Tomasz
  full_name: Kozior, Tomasz
  last_name: Kozior
- first_name: Tomasz
  full_name: Blachowicz, Tomasz
  last_name: Blachowicz
- first_name: Andrea
  full_name: Ehrmann, Andrea
  id: '223776'
  last_name: Ehrmann
  orcid: 0000-0003-0695-3905
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0695-3905/work/161440397
citation:
  alphadin: '<span style="font-variant:small-caps;">Kozior, Tomasz</span> ; <span
    style="font-variant:small-caps;">Blachowicz, Tomasz</span> ; <span style="font-variant:small-caps;">Ehrmann,
    Andrea</span>: Adhesion of three-dimensional printing on textile fabrics: Inspiration
    from and for other research areas. In: <i>Journal of Engineered Fibers and Fabrics</i>
    Bd. 15, Sage (2020)'
  ama: 'Kozior T, Blachowicz T, Ehrmann A. Adhesion of three-dimensional printing
    on textile fabrics: Inspiration from and for other research areas. <i>Journal
    of Engineered Fibers and Fabrics</i>. 2020;15. doi:<a href="https://doi.org/10.1177/1558925020910875">10.1177/1558925020910875</a>'
  apa: 'Kozior, T., Blachowicz, T., &#38; Ehrmann, A. (2020). Adhesion of three-dimensional
    printing on textile fabrics: Inspiration from and for other research areas. <i>Journal
    of Engineered Fibers and Fabrics</i>, <i>15</i>. <a href="https://doi.org/10.1177/1558925020910875">https://doi.org/10.1177/1558925020910875</a>'
  bibtex: '@article{Kozior_Blachowicz_Ehrmann_2020, title={Adhesion of three-dimensional
    printing on textile fabrics: Inspiration from and for other research areas}, volume={15},
    DOI={<a href="https://doi.org/10.1177/1558925020910875">10.1177/1558925020910875</a>},
    number={155892502091087}, journal={Journal of Engineered Fibers and Fabrics},
    publisher={Sage}, author={Kozior, Tomasz and Blachowicz, Tomasz and Ehrmann, Andrea},
    year={2020} }'
  chicago: 'Kozior, Tomasz, Tomasz Blachowicz, and Andrea Ehrmann. “Adhesion of Three-Dimensional
    Printing on Textile Fabrics: Inspiration from and for Other Research Areas.” <i>Journal
    of Engineered Fibers and Fabrics</i> 15 (2020). <a href="https://doi.org/10.1177/1558925020910875">https://doi.org/10.1177/1558925020910875</a>.'
  ieee: 'T. Kozior, T. Blachowicz, and A. Ehrmann, “Adhesion of three-dimensional
    printing on textile fabrics: Inspiration from and for other research areas,” <i>Journal
    of Engineered Fibers and Fabrics</i>, vol. 15, 2020.'
  mla: 'Kozior, Tomasz, et al. “Adhesion of Three-Dimensional Printing on Textile
    Fabrics: Inspiration from and for Other Research Areas.” <i>Journal of Engineered
    Fibers and Fabrics</i>, vol. 15, 155892502091087, Sage, 2020, doi:<a href="https://doi.org/10.1177/1558925020910875">10.1177/1558925020910875</a>.'
  short: T. Kozior, T. Blachowicz, A. Ehrmann, Journal of Engineered Fibers and Fabrics
    15 (2020).
date_created: 2021-01-03T14:59:24Z
date_updated: 2026-06-11T08:25:19Z
department:
- _id: '103'
doi: 10.1177/1558925020910875
file:
- access_level: open_access
  content_type: application/pdf
  creator: aehrmann
  date_created: 2021-01-03T14:57:47Z
  date_updated: 2021-01-03T14:57:47Z
  file_id: '650'
  file_name: _2020_Kozior_JEFF15_1558925020910875.pdf
  file_size: 186264
  relation: main_file
  success: 1
file_date_updated: 2021-01-03T14:57:47Z
funded_apc: '1'
has_accepted_license: '1'
intvolume: '        15'
keyword:
- Three-dimensional printing
- textile fabric
- adhesion
- rheology
- healing model
- wetting
- diffusion
language:
- iso: eng
oa: '1'
publication: Journal of Engineered Fibers and Fabrics
publication_identifier:
  issn:
  - 1558-9250
  - 1558-9250
publication_status: published
publisher: Sage
quality_controlled: '1'
status: public
title: 'Adhesion of three-dimensional printing on textile fabrics: Inspiration from
  and for other research areas'
type: journal_article
urn: urn:nbn:de:hbz:bi10-6491
user_id: '231260'
volume: 15
year: '2020'
...