Results 61 to 70 of about 14,976,458 (288)
Attacking UTMOS: Probing the Robustness of a Speech Quality Assessment Model
UTMOS has become one of the most commonly used deep neural network-based speech quality assessment (SQA) metrics in speech processing research. In this paper, we attack UTMOS to probe its robustness. Starting from high-quality speech samples, we optimize the input in two directions: a score-preserving attack, which degrades perceived quality while ...
Huang, Wen-Chin, Toda, Tomoki
openaire +2 more sources
‘Guide and Prejudice’— How Argonautes recognize targets across domains of life
Argonaute proteins use short nucleic‐acid guides to locate and regulate specific targets across all domains of life. Despite striking diversity—from human gene silencing to bacterial immune defence—all Argonautes share a conserved three‐stage recognition logic: guide‐directed sampling, progressive target pairing with a conformational checkpoint and ...
Jack P. K. Bravo
wiley +1 more source
Probing micron-scale distributed contortions via a twisted multicore optical fiber
Continuous measurement of small length scale contortions along an arbitrary path is a highly relevant goal within many branches of engineering and technology.
Raja Ahmad +3 more
doaj +1 more source
Probing, Improving, and Verifying Machine Learning Model Robustness
Machine learning models turn out to be brittle when faced with distribution shifts, making them hard to rely on in real-world deployment. This motivates developing methods that enable us to detect and alleviate such model brittleness, as well as to verify that our models indeed meet desired robustness guarantees.
openaire +1 more source
Model-Robust Interval Estimation
Confidence intervals are one of the most useful statistical tools. This dissertation is a study of several methods for forming confidence intervals that are insensitive to model assumptions, provided that the mean model for the data is not misspecified.
Gotwalt, Christopher Michael
core
Glitch-Resistant Masking Revisited - or Why Proofs in the Robust Probing Model are Needed [PDF]
Implementing the masking countermeasure in hardware is a delicate task. Various solutions have been proposed for this purpose over the last years: we focus on Threshold Implementations (TIs), Domain-Oriented Masking (DOM), the Unified Masking Approach ...
François-Xavier Standaert +3 more
core
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
While there is uncertainty about the data that enter into economic models and about the parameters that govern economic models, the fact that economists often approach macroeconomic data armed with different models of the economy suggests that ...
Adam – Nelu ALTĂR – SAMUEL
core +2 more sources
Automatic speech recognition predicts contemporaneous earthquake fault displacement
Significant progress has been made in probing the state of an earthquake fault by applying machine learning to continuous seismic waveforms. The breakthroughs were originally obtained from laboratory shear experiments and numerical simulations of fault ...
Christopher W. Johnson +2 more
doaj +1 more source
We conducted a transcultural adaptation and validation of the Perth Emotion Reactivity Scale for Brazilian contexts, introducing the Brazilian version (PERS-Br) in its standard and short forms. Participants were 452 Brazilian adults stratified by region.
Mateus Silvestrin +3 more
doaj +1 more source

