2 papers
cs.LG2026
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
SeungBum Ha, Saerom Park, Sung Whan Yoon
Machine unlearning (MU) aims to expunge a designated forget set from a trained model without costly retraining, yet the existing techniques overlook two critical blind spots: "over…
cs.CV2025
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
SeungBum Ha, Taehwan Lee, Jiyoun Lim +1
Federated learning (FL) enables decentralized training while preserving data privacy, yet existing FL benchmarks address relatively simple classification tasks, where each sample i…