Defensa y serguridad

Bioinspired and Sustainable Physical Unclonable Functions with Antibacterial Microstructures

06/05/2025 - An eco‐friendly physical unclonable function (PUF), named HECTA, is developed through spontaneous self‐assembly of hydroxyethyl cellulose (HEC) and tannic acid (TA), forming unique...

Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers

14/04/2025 - Many research fields are currently reckoning with issues of poor levels of reproducibility. Some label it a “crisis,” and research employing or building machine learning (ML) models is no...

A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption

27/03/2025 - This research presents a homomorphic encryption‐based solution to enhance privacy in carpooling without compromising functionality. Rigorous experiments confirm its robustness, accuracy, and...

In Situ XOR Encryption for Lightweight Security Using Nanoelectromechanical Physically Unclonable Functions

26/03/2025 - A novel in situ XOR encryption/decryption method using a nanoelectromechanical physically unclonable function (NEM‐PUF) is introduced, enhancing security in data transfers between servers/clouds...

INCIBE presenta su balance de ciberseguridad 2024 con más de 97,000 incidentes

20/03/2025 - El informe de INCIBE revela un aumento en los incidentes de ciberseguridad en 2024, destacando la creciente amenaza a nivel global y la necesidad de reforzar las medidas de protección...

La ciberseguridad tiene que estar anclada a la estrategia de negocio de las empresas

19/03/2025 - Los expertos señalan que integrar la ciberseguridad en la estrategia empresarial es esencial para proteger los activos digitales y garantizar la continuidad operativa en un entorno cada...

A survey of security and privacy issues of machine unlearning

10/01/2025 - Machine unlearning is a cutting‐edge technology that embodies the privacy legal principle of the right to be forgotten within the realm of machine learning (ML). It aims to remove specific data or...

Design and Optimization of an Origami Gripper for Versatile Grasping and Manipulation

31/10/2024 - Robotic grasping and manipulation require handling a wide range of objects with different properties. In this study, presents an origami gripper that effectively transforms pulling actuation into a...

DeepSLM: Speckle‐Licensed Modulation via Deep Adversarial Learning for Authorized Optical Encryption and Decryption

30/09/2024 - The article introduces a novel image‐based authorization encryption and decryption technique that synergizes optical systems with artificial intelligence. This solution utilizes deep adversarial...

Towards robust visual understanding: A paradigm shift in computer vision from recognition to reasoning

22/09/2024 - Models that learn from data are widely and rapidly being deployed today for real‐world use, but they suffer from unforeseen failures that limit their reliability. These failures often have several...

Game Theoretic Non‐cooperative Dynamic Target Tracking for Directional Sensing‐Enabled Unmanned Aerial Vehicles

04/09/2024 - This work presents a non‐cooperative target tracking game strategy that leverages agents’ directional sensing capabilities and introduces a tracking metric function to evaluate and motivate the...

BrainQN: Enhancing the Robustness of Deep Reinforcement Learning with Spiking Neural Networks

04/08/2024 - This article addresses the limitations of deep reinforcement learning (DRL) by introducing spiking neural networks (SNNs). This article proposes the Brain Q‐network (BrainQN), which replaces the...

Combating misinformation in the age of LLMs: Opportunities and challenges

01/08/2024 - Misinformation such as fake news and rumors is a serious threat for information ecosystems and public trust. The emergence of large language models (LLMs) has great potential to reshape the landscape...

Autonomous Robotic Ultrathin Laser‐Scribed Microheater for Effective Insect Control

28/07/2024 - A novel laser‐assisted micro‐heating autonomous robot is developed to deliver a safe and effective pest control strategy. The robot has laser‐scribed micropores and a microwire array, promoting...

A Security Study of Multimodel Artificial Intelligence System: Adaptive Retention Attack for Object Detection System with Multifocus Image Fusion Model

19/06/2024 - Herein, the problem of attacking object detection system that utilizes multifocus image fusion as its preprocessing models is addressed. To retain the attack capabilities of adversarial samples...

A Soft Robotic Morphing Wing for Unmanned Underwater Vehicles

12/03/2024 - This study presents the design and hydrodynamic characterization of a soft wing for implementation on underwater gliders. Through hydraulic actuation, the soft wing deforms and adjusts its...

The AIFS Institute: Building a better food system through AI

23/02/2024 - Our food system is complex, multifaceted, and in need of an upgrade. Population growth, climate change, and socioeconomic disparities are some of the challenges that create a systemic threat to its...

MA‐CAT: Misclassification‐Aware Contrastive Adversarial Training

05/02/2024 - A novel adversarial training method improving the adversarial robustness of deep neural networks is proposed. By employing supervised decoupled contrastive learning to cluster natural examples in...

Environmental Adaptability of Legged Robots with Cutaneous Inflation and Sensation

18/08/2023 - A synergistic approach employing soft inflatable sensing skin is proposed to enhance both the mobility modes (swimming, crawling, and rolling) and the environmentally adaptive responses (impact...

Tactile Sensing for Soft Robotic Manipulators in 50 MPa Hydrostatic Pressure Environments

20/09/2023 - A deep‐sea flexible sensor, consisting of a force sensor array and a bending sensor based on hydrogels, is proposed for tactile sensing in 50 MPa hydrostatic pressure environments. The sensor is...

GSCtool: A Novel Descriptor that Characterizes the Genome or Applying Machine Learning in Genomics

09/10/2023 - Genic single‐nucleotide polymorphisms Composition Tool (GSCtool) is a novel descriptor that characterizes the genome. For genome‐to‐phenotype prediction, GSCtool outperforms genotype matrices,...