3 papers
cs.CV2025
SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples
Dren Fazlija, Monty-Maximilian Zühlke, Johanna Schrader +4
Unrestricted adversarial attacks aim to fool computer vision models without being constrained by -norm bounds to remain imperceptible to humans, for example, by changing an…
cs.CL2025
ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness
Dren Fazlija, Arkadij Orlov, Sandipan Sikdar
Large language models (LLMs) are increasingly becoming valuable to corporate data management due to their ability to process text from various document formats and facilitate user…
cs.AI2024
How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples
Dren Fazlija, Arkadij Orlov, Johanna Schrader +3
With an ever-increasing reliance on machine learning (ML) models in the real world, adversarial examples threaten the safety of AI-based systems such as autonomous vehicles. In the…