EU 2026 Program

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Please note: This is the preliminary program, which is subject to change.

Monday, March 23, 2026

Co-located event: Women in Forensic Computing. Please see https://www.cybercrime.fau.de/winfc2026 for more information and to register. Please note this is not part of the DFRWS registration and separate registration is necessary.

WinFC image without any date

Tuesday, March 24, 2026

Time Event Location
Workshops – Details coming soon
18:00-20:30 Welcome Reception C-huset, Linköping University

Wednesday, March 25, 2026

Time Event Location
Details coming soon
19:00-22:00 Banquet, Awards Ceremony & Forensic Rodeo
Return bus transfer approximately 23:00
Swedish Air Force Museum

Thursday, March 26, 2026

Time Event Location
Details coming soon
Evening Free Evening
We recommend gathering at a venue in downtown Linköping – details to follow
TBD

Friday, March 27, 2026

Time Event Location
Details coming soon
14:00-15:30 DFRWS Expedition
Guided city tour for attendees staying beyond the conference
Norrköping

Accepted Workshops

Accepted Posters

  • Posters to be announced

Accepted Papers

    Main Track

  • LEMON: A Universal eBPF-based Volatile Memory Acquisition Tool for Modern Android Devices and Hardened Linux Systems
    Andrea Oliveri, Marco Cavenati, Stefano De Rosa, Sudharsun Lakshmi Narasimhan and Davide Balzarotti
  • Inside the Black Box: In-Depth Analysis of Geolocation Mechanisms in Android Mobile Devices
    Samuele Mombelli and Thomas R. Souvignet
  • Forensic Activity Classification Using Digital Traces from iPhones: A Machine Learning-based Approach
    Conor McCarthy, Jan Peter van Zandwijk, Marcel Worring and Zeno Geradts
  • The Investigator’s Friend and Foe: A forensic analysis of GrapheneOS
    Katharina De Rentiis, Julian Geus and Felix Freiling
  • Down the Rabbit-Hole: A forensic analysis of the Matrix protocol and Synapse server
    Yikai Wang, Xuepei Zhang, Shufan Wu and Yan Cheng
  • Ex Machina: A Forensic Evaluation of AI Companion Applications and Their Evidentiary Value
    Kendall Comeaux, Trevor Spinosa, Ali Ghosn and Ibrahim Baggili
  • Interpretable root cause analysis of drone flight logs
    Swardiantara Silalahi, Tohari Ahmad, Hudan Studiawan and Frank Breitinger
  • Hey GPT-OSS, Looks Like You Got It – Now Walk Me Through It! An Assessment of the Reasoning Language Models Chain of Thought Mechanism for Digital Forensics
    Gaëtan Michelet, Janine Schneider, Aruna Withanage and Frank Breitinger
  • Addressing the Dataset Gap Problem with Generative AI: Towards LLM-driven Forensic Scenarios for Dataset Generation
    Michael Plankl, Thomas Göbel and Harald Baier
  • CPR: Corrupted PDF Recovery Algorithm for Digital Forensic Investigations
    Seoyoung Kim, Yunji Park, Woobeen Park and Doowon Jeong
  • AutoDFBench 1.0: A Benchmarking Framework for Digital Forensic Tool Testing and Generated Code Evaluation
    Akila Shamendra Wickramasekara, Tharusha Mihiranga Arumadura, Aruna Withanage, Buddhima Weerasinghe, John Sheppard, Frank Breitinger and Mark Scanlon
  • Plug to Place: Indoor Multimedia Geolocation from Electrical Sockets for Digital Investigation
    Kanwal Aftab, Graham Adams and Mark Scanlon
  • Needle in a case: Scalable search over large-scale image corpora in forensic applications
    Kamil Faber, Dominik Żurek, Kacper Bujak, Monika Selegrat and Kamil Piętak
  • Ctrl+Alt+Deceit: Policing the Deepfake Dilemma
    Áine MacDermott
  • Resilience of Forensic Evidence Acquisition Under Database Schema Drift
    Afiqah Mohammad Azahari, Andrea Oliveri and Davide Balzarotti
  • Structural Analysis of the Windows NT Heap for Memory Forensics
    Daniel Uroz, Abraham Díaz-Campo and Ricardo J. Rodríguez
  • REPDF: Repairing Corrupted PDF Files through Font Mapping and Object Relationship Reconstruction
    Seungeun Park, Byeongchan Jeong, Jieon Kim and Jungheum Park
  • Multimedia Forensics Mini-Track

  • Enhancing Abnormality identification: Robust Out-Of-Distribution strategies for Deepfake Detection
    Fabrizio Casadei, Luca Maiano and Irene Amerini
  • Vision-Attention Anomaly Scoring (VAAS) for Image Manipulation Detection in Digital Forensics
    Opeyemi Bamigbade, Mark Scanlon and John Sheppard
  • Boon or Bane: Source Camera Identification meets AI-generated Images
    Samantha Klier and Harald Baier