3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform
Jay Roberts, Kyle Mylonakis, Sidhartha Roy +1
The high cost of ownership of AI compute infrastructure and challenges of robust serving of large language models (LLMs) has led to a surge in managed Model-as-a-service deployment…
cs.CR2025
BeamClean: Language Aware Embedding Reconstruction
Kaan Kale, Kyle Mylonakis, Jay Roberts +1
In this work, we consider an inversion attack on the obfuscated input embeddings sent to a language model on a server, where the adversary has no access to the language model or th…
physics.geo-ph2018★ 3 cited
Deep Learning Seismic Substructure Detection using the Frozen Gaussian Approximation
James C. Hateley, Jay Roberts, Kyle Mylonakis +1
We propose a deep learning algorithm for seismic interface and pocket detection with neural networks trained by synthetic high-frequency displacement data efficiently generated by…