EMARS: Efficient Management and Allocation of Resources in Serverless. - Aakanksha Saha; Sonika Jindal (IEEE CLOUD, 2018)

Secrets in Source Code: Reducing False Positives using Machine Learning. - Aakanksha Saha; Tamara Denning; Vivek Srikumar; Sneha Kumar Kasera (COMSNETS, 2020)

Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. - Gerhard Jungwirth; Aakanksha Saha; Michael Schröder 005; Tobias Fiebig; Martina Lindorfer; Jürgen Cito (MSR, 2023)

Exploring the Malicious Document Threat Landscape: Towards a Systematic Approach to Detection and Analysis. - Aakanksha Saha; Jorge Blasco; Martina Lindorfer (EuroS&P Workshops, 2024)

ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files. - Aakanksha Saha; Jorge Blasco; Lorenzo Cavallaro; Martina Lindorfer (RAID, 2024)

From IOCs to Group Profiles: On the Specificity of Threat Group Behaviors in CTI Knowledge Bases. - Aakanksha Saha; Martina Lindorfer; Juan Caballero (CoRR, 2025)