Results 71 to 80 of about 4,864 (239)
A Survey of Fuzzing for ROS-Based Robotic Systems
Applied SciencesFuzzing is increasingly used to test ROS-based robotic systems, yet results remain difficult to compare because studies exercise different ROS layers and define failures in different ways. We analyze 92 selected works on ROS/ROS-based fuzzing and closely
Mucheng Yang +6 more
doaj +1 more source
Advanced Science, EarlyView.This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
Spectral Fuzzing: Evaluation & Feedback
, 2010 This paper presents an instrumentation framework for assessing and improving fuzzing, a powerful technique to rapidly detect software vulnerabilities. We address the major current limitation of fuzzing techniques, namely the absence of evaluation metrics
State, Radu +3 more
core +3 more sources
Advanced Science, EarlyView.Our study identifies MAGI3 as an intestinal epithelial gatekeeper that restrains inflammation‐associated colorectal tumorigenesis but is itself suppressed under highly inflammatory conditions. MAGI3 deficiency activates the STAT3‐CCL2 signaling, thereby promoting TAM‐mediated immunosuppression and inflammation‐associated colorectal tumor progression ...
Yumeng Yang +12 more
wiley +1 more source
IEEE AccessFuzzing is a crucial technique for detecting software defects by dynamically generating and testing program inputs. This study introduces a framework designed to assess the application of Large Language Models (LLMs) to automate the generation of ...
Gavin Black +2 more
doaj +1 more source
Combining dynamic symbolic execution, code static analysis and fuzzing
Труды Института системного программирования РАН, 2019 This paper describes a new approach for dynamic code analysis. It combines dynamic symbolic execution and static code analysis with fuzzing to increase efficiency of each component.
A. Yu. Gerasimov +5 more
doaj +1 more source
Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Advanced Intelligent Discovery, EarlyView.Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
Closure: Transforming Source Code for Faster Fuzzing
, 2022 Fuzzing, the method of generating inputs to run on a target program while monitoring its execution, is a widely adopted and pragmatic methodology for bug hunting as a means of software hardening.
Paterson, Ian G.
core