3 papers
eess.IV2026
Standardizing Medical Images at Scale for AI
Callen MacPhee, Yiming Zhou, Koichiro Kishima +1
Deep learning has achieved remarkable success in medical image analysis, yet its performance remains highly sensitive to the heterogeneity of clinical data. Differences in imaging…
cs.LG2025
Physical Data Embedding for Memory Efficient AI
Callen MacPhee, Yiming Zhou, Bahram Jalali
Deep neural networks (DNNs) have achieved exceptional performance across various fields by learning complex, nonlinear mappings from large-scale datasets. However, they face challe…
cs.CR2025
Provably effective detection of effective data poisoning attacks
Jonathan Gallagher, Yasaman Esfandiari, Callen MacPhee +1
This paper establishes a mathematically precise definition of dataset poisoning attack and proves that the very act of effectively poisoning a dataset ensures that the attack can b…