Research Focus

Attacks on LLMs, privacy-preserving defenses, and machine learning for security.

Attacks on LLMs

Prompt injection, data leakage, model extraction, backdoor attacks, gradient reconstruction attacks, membership inference, and adversarial machine learning.

Privacy-Preserving ML/LLM Defenses

Federated learning, differential privacy, privacy-preserving fine-tuning, safety alignment, canary insertion and detection, and other defenses against model attacks.

Automated Vulnerability Detection

Meta-learning, AutoML, and neural architecture search for side-channel and cryptographic analysis.

Selected Publications

  • From ASR to ASP: Evaluating Prompt Attack Vulnerabilities Against Open-Source LLMsJiawen Wang, Pritha Gupta, Ivan Habernal, Eyke Hüllermeier, Xiaoxue Gao, Nancy F. Chen. arXiv, 2026. Paper
  • Information Leakage Detection through Approximate Bayes-optimal PredictionPritha Gupta, Marcel Wever, Eyke Hüllermeier. Information Sciences, 2025. Paper
  • Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised DatasetsDavid Schubert, Pritha Gupta, Marcel Wever. International Symposium on Intelligent Data Analysis, 2023. Paper
  • Automated Side-Channel Attacks using Black-Box Neural Architecture SearchPritha Gupta, Jan Peter Drees, Eyke Hüllermeier. 18th International Conference on Availability, Reliability and Security, 2023. Paper
  • Learning Context-Dependent Choice FunctionsKarlson Pfannschmidt, Pritha Gupta, Björn Haddenhorst, Eyke Hüllermeier. International Journal of Approximate Reasoning, 2022. Paper
  • 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. Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2022. Paper
  • Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic ProtocolsPritha Gupta, Arunselvan Ramaswamy, Jan Peter Drees, Eyke Hüllermeier, Claudia Priesterjahn, Tibor Jager. Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022. Paper · Talk
  • Pairwise versus Point-wise Ranking: A Case StudyVitalik Melnikov, Eyke Hüllermeier, Daniel Kaimann, Bernd Frick, Pritha Gupta. Theoretical Foundations of Machine Learning, 2017. Paper
  • Design and Implementation of Autonomous Car using Raspberry PiGurjashan Singh Pannu, Mohammad Dawud Ansari, Pritha Gupta. International Journal of Computer Applications, 113(9):22-29, 2015. Paper · Video