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| | Preview | Author(s) | Title | Type | Issue Date |
| 1 |  | Chow, Theo ; D'Onghia, Mario ; Linhardt, Lorenz ; Kan, Zeliang ; Arp, Daniel ; Cavallaro, Lorenzo ; Pierazzi, Fabio | Beyond the Tesseract: Trustworthy Dataset Curation for Sound Evaluations of Android Malware Classifiers | Inproceedings Konferenzbeitrag    | 22-Sep-2026 |
| 2 | | Breuer, Nils Ole ; Linhardt, Lorenz ; Normann, Philipp ; Arp, Daniel | Towards Explaining Classification Models in Security with Sparse Autoencoders | Inproceedings Konferenzbeitrag | 6-Aug-2026 |
| 3 |  | Saha, Aakanksha ; Lindorfer, Martina ; Caballero, Juan | Kitten or Panda? Measuring the Specificity of Threat Group Behaviors in Public CTI Knowledge Bases | Inproceedings Konferenzbeitrag | 4-Jun-2026 |
| 4 | | Jonathan Evertz ; Risse, Niklas ; Neuer, Nicolai ; Müller, Andreas ; Normann, Philipp ; Sapia, Gaetano ; Gupta, Srishti ; Pape, David ; Shaw, Soumya ; Srivastav, Devansh ; Wressnegger, Christian ; Quiring, Erwin ; Eisenhofer, Thorsten ; Arp, Daniel ; Schönherr, Lea | Chasing Shadows: Pitfalls in LLM Security Research | Inproceedings Konferenzbeitrag | 2026 |
| 5 | | Cortellazzi, Jacopo ; Quiring, Erwin ; Arp, Daniel ; Pendlebury, Feargus ; Pierazzi, Fabio ; Cavallaro, Lorenzo | Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version] | Article Artikel | Nov-2025 |
| 6 | | Anthony, Peter ; Galadima, Kefas Rimamnuskeb ; Adams, Zekeri ; Onoja, Monday ; Arp, Daniel ; Homola, Martin ; Balogh, Štefan | Rule Extraction and Interaction-Aware Explainability for AI-Driven Malware Detection | Inproceedings Konferenzbeitrag | 25-Oct-2025 |
| 7 | | Weißberg, Felix ; Hilgefort, Jan Malte ; Grogorick, Steve ; Arp, Daniel ; Eisenhofer, Thorsten ; Eisemann, Martin ; Rieck, Konrad | Seeing through: analyzing and attacking virtual backgrounds in video calls | Inproceedings Konferenzbeitrag | 13-Aug-2025 |
