How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples
Published in AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems, 2024
Recommended citation: Dren Fazlija, Arkadij Orlov, Johanna Schrader, Monty-Maximilian Zühlke, Michael Rohs, Daniel Kudenko (2024). "How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples" AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems. https://aair-lab.github.io/aia2024/papers/fazlija_aia24.pdf
Ongoing Work
Topics: Unrestricted Adversarial Examples, Subjective Image Quality Assessment, Adversarial Machine Learning, Computer Vision, Online Data Collection,Human Perception, Research Design.