3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Model Stealing Through the Lens of Model Multiplicity
Eliott Baltz, Satoshi Hara, Ulrich Aïvodji
Model stealing attacks, where adversaries create high-fidelity surrogate models, are a significant threat to the intellectual property of machine learning services. Conventional wi…
cs.LG2025★ 3 cited
Data Cleansing for GANs
Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara
As the application of generative adversarial networks (GANs) expands, it becomes increasingly critical to develop a unified approach that improves performance across various genera…