3 accepted papers
The vulnerability of deep neural networks (DNNs) has been preliminarily verified. Existing black-box adversarial attacks usually require multi-round interaction with the model and consume numerous queries, which is impractical in the real-world and hard to scale to recently emerged Video-LLMs. Moreo
Robust and unobtrusive in-vehicle physiological monitoring is crucial for ensuring driving safety and user experience. While remote physiological measurement (RPM) offers a promising non-invasive solution, its translation to real-world driving scenarios is critically constrained by the scarcity of c…
Electrocardiography (ECG) for objective cognitive load estimation gained increasing attention, and offers a more feasible and non-invasive alternative to traditional methods such as electroencephalography (EEG). Despite the promise of ECG signal, application in real-world scenarios is hampered by th…