---
_id: '6998'
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: 2026-06-22T07:54:10Z
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_identifier:
  isbn:
  - 978-1-68558-449-8
publication_status: accepted
status: public
title: ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face
  Images
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '6235'
author:
- first_name: Marius
  full_name: Sangel, Marius
  id: '243822'
  last_name: Sangel
- first_name: Emilia
  full_name: Bensch, Emilia
  last_name: Bensch
- first_name: Hans
  full_name: Brandt-Pook, Hans
  id: '206531'
  last_name: Brandt-Pook
  orcid: 0009-0002-6668-2684
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-6668-2684/work/194297832
- first_name: Timo
  full_name: Röllke, Timo
  last_name: Röllke
- first_name: Cedric
  full_name: Markworth, Cedric
  last_name: Markworth
citation:
  alphadin: '<span style="font-variant:small-caps;">Sangel, Marius</span> ; <span
    style="font-variant:small-caps;">Bensch, Emilia</span> ; <span style="font-variant:small-caps;">Brandt-Pook,
    Hans</span> ; <span style="font-variant:small-caps;">Röllke, Timo</span> ; <span
    style="font-variant:small-caps;">Markworth, Cedric</span>: Automatisierte Erkennung
    von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus
    dem Projekt TRACES. In: <span style="font-variant:small-caps;">Gesellschaft für
    Informatik e.V.</span> (Hrsg.): <i>INFORMATIK 2025</i>. Bonn, 2025, S. 1363–1371'
  ama: 'Sangel M, Bensch E, Brandt-Pook H, Röllke T, Markworth C. Automatisierte Erkennung
    von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus
    dem Projekt TRACES. In: Gesellschaft für Informatik e.V., ed. <i>INFORMATIK 2025</i>.
    Bonn; 2025:1363-1371. doi:<a href="https://doi.org/10.18420/INF2025_121">10.18420/INF2025_121</a>'
  apa: 'Sangel, M., Bensch, E., Brandt-Pook, H., Röllke, T., &#38; Markworth, C. (2025).
    Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen:
    Ansätze und Ergebnisse aus dem Projekt TRACES. In Gesellschaft für Informatik
    e.V. (Ed.), <i>INFORMATIK 2025</i> (pp. 1363–1371). Bonn. <a href="https://doi.org/10.18420/INF2025_121">https://doi.org/10.18420/INF2025_121</a>'
  bibtex: '@inproceedings{Sangel_Bensch_Brandt-Pook_Röllke_Markworth_2025, place={Bonn},
    title={Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem
    Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES}, DOI={<a href="https://doi.org/10.18420/INF2025_121">10.18420/INF2025_121</a>},
    number={366}, booktitle={INFORMATIK 2025}, author={Sangel, Marius and Bensch,
    Emilia and Brandt-Pook, Hans and Röllke, Timo and Markworth, Cedric}, editor={Gesellschaft
    für Informatik e.V.Editor}, year={2025}, pages={1363–1371} }'
  chicago: 'Sangel, Marius, Emilia Bensch, Hans Brandt-Pook, Timo Röllke, and Cedric
    Markworth. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem
    Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” In <i>INFORMATIK 2025</i>,
    edited by Gesellschaft für Informatik e.V., 1363–71. Bonn, 2025. <a href="https://doi.org/10.18420/INF2025_121">https://doi.org/10.18420/INF2025_121</a>.'
  ieee: 'M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, and C. Markworth, “Automatisierte
    Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse
    aus dem Projekt TRACES,” in <i>INFORMATIK 2025</i>, Potsdam, 2025, no. 366, pp.
    1363–1371.'
  mla: 'Sangel, Marius, et al. “Automatisierte Erkennung von Störstoffen in Bioabfall
    mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” <i>INFORMATIK
    2025</i>, edited by Gesellschaft für Informatik e.V., no. 366, 2025, pp. 1363–71,
    doi:<a href="https://doi.org/10.18420/INF2025_121">10.18420/INF2025_121</a>.'
  short: 'M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, C. Markworth, in: Gesellschaft
    für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1363–1371.'
conference:
  end_date: 2025-09-19
  location: Potsdam
  name: INFORMATIKFESTIVAL 2025
  start_date: 2025-09-16
corporate_editor:
- Gesellschaft für Informatik e.V.
date_created: 2025-10-15T07:05:27Z
date_updated: 2026-03-17T15:29:27Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
doi: 10.18420/INF2025_121
file:
- access_level: open_access
  content_type: application/pdf
  creator: msangel1
  date_created: 2025-10-15T07:02:12Z
  date_updated: 2025-10-15T07:02:12Z
  file_id: '6236'
  file_name: Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem
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  file_size: 14374281
  relation: main_file
  success: 1
file_date_updated: 2025-10-15T07:02:12Z
has_accepted_license: '1'
issue: '366'
keyword:
- Machine Learning
- Computer Vision
- Instance Segmentation
- CNNs
- YOLACT
- Data Augmentation
- Waste Classification
- Trash Detection
- Biowaste Analysis
language:
- iso: ger
main_file_link:
- open_access: '1'
oa: '1'
page: 1363-1371
place: Bonn
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
  name: Institute for Data Science Solutions
publication: INFORMATIK 2025
publication_identifier:
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publication_status: epub_ahead
quality_controlled: '1'
status: public
title: 'Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen:
  Ansätze und Ergebnisse aus dem Projekt TRACES'
tmp:
  image: /images/cc_by_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode
  name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC
    BY-SA 4.0)
  short: CC BY-SA (4.0)
type: conference
urn: urn:nbn:de:hbz:bi10-62353
user_id: '243822'
year: '2025'
...