Deep architectures for learning context-dependent ranking functions. - Karlson Pfannschmidt; Pritha Gupta; Eyke Hüllermeier (CoRR, 2018)

Learning Choice Functions. - Karlson Pfannschmidt; Pritha Gupta; Eyke Hüllermeier (CoRR, 2019)

Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! - Jan Peter Drees; Pritha Gupta; Eyke Hüllermeier; Tibor Jager; Alexander Konze; Claudia Priesterjahn; Arunselvan Ramaswamy; Juraj Somorovsky (IACR Cryptol. ePrint Arch., 2021)

Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols. - Pritha Gupta; Arunselvan Ramaswamy; Jan Peter Drees; Eyke Hüllermeier; Claudia Priesterjahn; Tibor Jager (ICAART (2), 2022)

Learning context-dependent choice functions. - Karlson Pfannschmidt; Pritha Gupta; Björn Haddenhorst; Eyke Hüllermeier (Int. J. Approx. Reason., 2022)

Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. - David Schubert; Pritha Gupta; Marcel Wever (IDA, 2023)

Automated Side-Channel Attacks using Black-Box Neural Architecture Search. - Pritha Gupta; Jan Peter Drees; Eyke Hüllermeier (IACR Cryptol. ePrint Arch., 2023)

Anwendung von maschinellem Lernen zum automatischen Erkennen von Padding-Orakel-Seitenkanälen. - Claudia Priesterjahn; Jan Peter Drees; Pritha Gupta; Simon Oberthür (Softwaretechnik-Trends, 2023)

Information leakage detection through approximate Bayes-optimal prediction. - Pritha Gupta; Marcel Wever; Eyke Hüllermeier (Inf. Sci., 2025)

Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs. - Jiawen Wang; Pritha Gupta; Ivan Habernal; Eyke Hüllermeier (CoRR, 2025)