Towards Privacy-Preserving Sharing of Cyber Threat Intelligence for Effective Response and Recovery. - Lasse Nitz; Mehdi Akbari Gurabi; Avikarsha Mandal; Benjamin Heitmann (ERCIM News, 2021)

From Collaboration to Automation: A Proof of Concept for Improved Incident Response. - Lasse Nitz; Martin Zádník; Mehdi Akbari Gurabi; Mischa Obrecht; Avikarsha Mandal (ERCIM News, 2022)

DGA Detection Using Similarity-Preserving Bloom Encodings. - Lasse Nitz; Avikarsha Mandal (EICC, 2023)

On Data Spaces for Retrieval Augmented Generation. - Felix Hermsen; Lasse Nitz; Mehdi Akbari Gurabi; Roman Matzutt; Avikarsha Mandal (INFORMATIK, 2024)

Requirements for Playbook-Assisted Cyber Incident Response, Reporting and Automation. - Mehdi Akbari Gurabi; Lasse Nitz; Andrej Bregar; Jan Popanda; Christian Siemers; Roman Matzutt; Avikarsha Mandal (DTRAP, 2024)

Strengthening Cyber Defence through Cooperative Development and Shared Expertise in Incident Response Playbooks. - Mehdi Akbari Gurabi; Lasse Nitz; Charukeshi Joglekar; Avikarsha Mandal (ERCIM News, 2024)

Bloom Encodings in DGA Detection: Improving Machine Learning Privacy by Building on Privacy-Preserving Record Linkage. - Lasse Nitz; Avikarsha Mandal (J. Univers. Comput. Sci., 2024)

On Collaboration and Automation in the Context of Threat Detection and Response with Privacy-Preserving Features. - Lasse Nitz; Mehdi Akbari Gurabi; Milan Cermák; Martin Zádník; David A. Karpuk; Arthur Drichel; Sebastian Schäfer 004; Benedikt Holmes; Avikarsha Mandal (Digit. Threat. Res. Pract., 2025)