Ripple: Overview and Outlook. - Frederik Armknecht; Ghassan O. Karame; Avikarsha Mandal; Franck Youssef; Erik Zenner (TRUST, 2015)

Privacy Preserving Consensus-Based Economic Dispatch in Smart Grid Systems. - Avikarsha Mandal (FNSS, 2016)

Privacy-Preserving Distributed Economic Dispatch Protocol for Smart Grid. - Avikarsha Mandal; Frederik Armknecht; Erik Zenner (NordSec, 2018)

On security and privacy of consensus-based protocols in blockchain and smart grid. - Avikarsha Mandal (2020)

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)

SASP: a Semantic web-based Approach for management of Sharable cybersecurity Playbooks. - Mehdi Akbari Gurabi; Avikarsha Mandal; Jan Popanda; Robert Rapp; Stefan Decker (ARES, 2022)

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)

Towards Privacy-Preserving Machine Learning in Sovereign Data Spaces: Opportunities and Challenges. - Mehdi Akbari Gurabi; Felix Hermsen; Avikarsha Mandal; Stefan Decker (Privacy and Identity Management, 2023)

Privacy and Utility Evaluation of Synthetic Tabular Data for Machine Learning. - Felix Hermsen; Avikarsha Mandal (Privacy and Identity Management, 2023)

Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering. - Md. Rezaul Karim 001; Felix Hermsen; Sisay Adugna Chala; Paola de Perthuis; Avikarsha Mandal (CoRR, 2023)

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

A Conceptual Framework to Leverage Heuristics for Effective Human-Machine Collaboration in Incident Handling. - Mehdi Akbari Gurabi; Muhammad Usman Mansoor; Roman Matzutt; Avikarsha Mandal; Stefan Decker (SecITC, 2024)

Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering. - Md. Rezaul Karim 001; Felix Hermsen; Sisay Adugna Chala; Paola de Perthuis; Avikarsha Mandal (IEEE Access, 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)

From Legacy to Standard: LLM-Assisted Transformation of Cybersecurity Playbooks into CACAO Format. - Mehdi Akbari Gurabi; Lasse Nitz; Radu-Mihai Castravet; Roman Matzutt; Avikarsha Mandal; Stefan Decker (CoRR, 2025)