Results 61 to 70 of about 432 (243)
Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme [PDF]
Fuzzing is a common technique for identifying vulnerabilities in software. Recent approaches, like She et al.’s Multi-Task Fuzzing (MTFuzz), use neural networks to improve fuzzing efficiency.
Hong, Jun +3 more
core +1 more source
HyDiff: hybrid differential software analysis [PDF]
, 2020 Detecting regression bugs in software evolution, analyzing side-channels in programs and evaluating robustness in deep neural networks (DNNs) can all be seen as instances of differential software analysis, where the goal is to generate diverging ...
Grunske, Lars +7 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
HyPSI: A Hybrid Protocol Semantic Inference Framework for Industrial Control Systems
IEEE AccessThe convergence of Operational Technology (OT) and Information Technology (IT) exposes legacy Industrial Control Systems (ICS) devices to distinct protocol-level attacks due to the lack of semantic filtering mechanisms in modern edge gateways.
Yuxiang Lei +6 more
doaj +1 more source
ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts [PDF]
, 2021 peer reviewedSmart contracts are Turing-complete programs that are executed across a blockchain. Unlike traditional programs, once deployed, they cannot be modified.
Gervais, Arthur +4 more
core
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Interactive Application Security Testing with Hybrid Fuzzing and Statistical Estimators [PDF]
161191Both static analysis and dynamic analysis are methods to identify vulnerabilities in programs. Whereas sound static analysis is strong in identifying all vulnerabilities of a certain type by analyzing all program paths, it suffers from high numbers
Barakat, Ramon +5 more
core +1 more source
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source