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About

Giedre Sabaliauskaite is a leading researcher in the cybersecurity of Cyber-Physical Systems (CPS) and robotics, with a particular focus on the detection of stealthy attacks. Her work is foundational in understanding how malicious actors can compromise autonomous systems and how to build resilient defenses. Her most cited paper, "A comprehensive approach, and a case study, for conducting attack detection experiments in Cyber–Physical Systems" (2017, 26 citations), provides a critical methodology for the field. Sabaliauskaite is best known for her experimental work using the Amigobot robot as a testbed for CPS security. She has rigorously evaluated the effectiveness of the Cumulative Sum (CUSUM) approach and other detection methods against sophisticated, stealthy attacks—including surge, bias, and geometric manipulations. Her 2015 study on "Experimental Evaluation of Stealthy Attack Detection in a Robot" (11 citations) and her 2016 empirical assessment (7 citations) are landmark studies that bridge theoretical detection algorithms with real-world robotic hardware. By comparing seven different methods for detecting corrupted sensor data, she has provided the community with essential benchmarks for securing robotics and autonomous systems against cyber threats.