Zobrazeno 1 - 10
of 63 193
pro vyhledávání: '"A. Gunn"'
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 18, Pp n/a-n/a (2023)
Abstract In the absence of consistent meteorological data on Mars, the morphology of dunes can be employed to study its atmosphere. Specifically, barchan dunes, which form under approximately unimodal winds, are reliable proxies for the dominant wind
Externí odkaz:
https://doaj.org/article/521a16cbd17f461c868f3e7eacff6198
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The goal of this study was to understand the composition and existence of the resident uterine microbiome in healthy mares and to establish the presence of a core microbiome for the healthy equine uterus. We analyzed the microbiomes of 35 he
Externí odkaz:
https://doaj.org/article/3a4d693381024ccab7b20644cb962155
Pseudorandom codes are error-correcting codes with the property that no efficient adversary can distinguish encodings from uniformly random strings. They were recently introduced by Christ and Gunn [CRYPTO 2024] for the purpose of watermarking the ou
Externí odkaz:
http://arxiv.org/abs/2411.05947
Gaussian process are a widely-used statistical tool for conducting non-parametric inference in applied sciences, with many computational packages available to fit to data and predict future observations. We study the use of the Greta software for Bay
Externí odkaz:
http://arxiv.org/abs/2411.05556
Autor:
Gunn, Sam, Movassagh, Ramis
The meteoric rise in power and popularity of machine learning models dependent on valuable training data has reignited a basic tension between the power of running a program locally and the risk of exposing details of that program to the user. At the
Externí odkaz:
http://arxiv.org/abs/2411.03305
The recent explosion of high-quality language models has necessitated new methods for identifying AI-generated text. Watermarking is a leading solution and could prove to be an essential tool in the age of generative AI. Existing approaches embed wat
Externí odkaz:
http://arxiv.org/abs/2410.18861
We present the first undetectable watermarking scheme for generative image models. Undetectability ensures that no efficient adversary can distinguish between watermarked and un-watermarked images, even after making many adaptive queries. In particul
Externí odkaz:
http://arxiv.org/abs/2410.07369
This article proves the following theorem, first enunciated by Roger Penrose about 70 years ago: In $\mathbb{R}P^2$, if regular conics are assigned to seven of the vertices of a combinatorial cube such that (i) conics connected by an edge are in doub
Externí odkaz:
http://arxiv.org/abs/2409.17150
When light primordial black holes (PBHs) evaporate in the early Universe, they locally reheat the surrounding plasma, creating hot spots with temperatures that can be significantly higher than the average plasma temperature. In this work, we provide
Externí odkaz:
http://arxiv.org/abs/2409.02173
Autor:
Simpson, Lachlan, Costanza, Federico, Millar, Kyle, Cheng, Adriel, Lim, Cheng-Chew, Chew, Hong Gunn
Adversarial attacks on explainability models have drastic consequences when explanations are used to understand the reasoning of neural networks in safety critical systems. Path methods are one such class of attribution methods susceptible to adversa
Externí odkaz:
http://arxiv.org/abs/2407.16233