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cs.CV2025
FocusDD: Real-World Scene Infusion for Robust Dataset Distillation
Youbing Hu, Yun Cheng, Olga Saukh +4
Dataset distillation has emerged as a strategy to compress real-world datasets for efficient training. However, it struggles with large-scale and high-resolution datasets, limiting…
cs.CV2024
Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection
Jakob Shack, Katarina Petrovic, Olga Saukh
Adversarial attacks pose a significant threat to the robustness and reliability of machine learning systems, particularly in computer vision applications. This study investigates t…