2 papers
quant-ph2025
Secure PAC Learning: Sample-Budget Laws and Quantum Data-Path Admissibility
Jeongho Bang
Security in machine learning is fragile when data are exfiltrated or perturbed, yet existing frameworks rarely connect the definition and analysis of the security to learnability.…
stat.ML2025
Ensuring superior learning outcomes and data security for authorized learner
Jeongho Bang, Wooyeong Song, Kyujin Shin +1
The learner's ability to generate a hypothesis that closely approximates the target function is crucial in machine learning. Achieving this requires sufficient data; however, unaut…