9 citations · 15 across the 4 of their papers we have counts for
4 papers
Optimistic TEE-Rollups: A Hybrid Architecture for Scalable and Verifiable Generative AI Inference on Blockchain
Aaron Chan, Alex Ding, Frank Chen +3
The rapid integration of Large Language Models (LLMs) into decentralized physical infrastructure networks (DePIN) is currently bottlenecked by the Verifiability Trilemma, which pos…
Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inference
Arther Tian, Alex Ding, Frank Chen +3
Decentralized large language model (LLM) inference promises transparent and censorship resistant access to advanced AI, yet existing verification approaches struggle to scale to mo…
Drawing from hats by noise-based logic
Bruce Zhang, Laszlo B. Kish, Claes-Goran Granqvist
We utilize the asymmetric random telegraph wave-based instantaneous noise-base logic scheme to represent the problem of drawing numbers from a hat, and we consider two identical ha…
Cracking the Liu key exchange protocol in its most secure state with Lorentzian spectra
Lazar L. Kish, Bruce Zhang, Laszlo B. Kish
We have found a security risk in the Liu's cypher based on random signals and feedback, when it utilizes a large class of noises for communication in its most secure state, the ste…