2 citations · 2 across the 7 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Hardware and Software Platform Inference
Cheng Zhang, Hanna Foerster, Robert D. Mullins +2
It is now a common business practice to buy access to large language model (LLM) inference rather than self-host, because of significant upfront hardware infrastructure and energy…
cs.LG2024
Beyond Slow Signs in High-fidelity Model Extraction
Hanna Foerster, Robert Mullins, Ilia Shumailov +1
Deep neural networks, costly to train and rich in intellectual property value, are increasingly threatened by model extraction attacks that compromise their confidentiality. Previo…