3 papers indexed
Yanis Xabier Wilbrand Peña, Oliver Weißl, Andrea Stocco
Automatic speech recognition (ASR) systems have achieved high accuracy with transformer-based models, enabling deployment in critical applications. However, they remain vulnerable to adversarial manipulation, particularly in black-box settings where attacks must preserve perceptu…
Stefano Carlo Lambertenghi, Matthias Weil, Andrea Stocco
Autonomous Driving Systems (ADS) must operate reliably under diverse conditions, yet representative data for rare or adverse scenarios is difficult to obtain. Perturbation-based testing is widely used to assess robustness, but most studies focus on offline datasets or simulation,…
Lev Sorokin, Chen Yang, Ken E. Friedl, Andrea Stocco
In the automotive domain, in-car scene understanding (ISU) enables the detection of safety-critical events, such as driver distraction, and supports drivers or passengers by analyzing the in-car scene and adapting the environment (e.g., ambient lighting). The industry is increasi…