Results 21 to 30 of about 503,159 (305)

PhishClone: Measuring the Efficacy of Cloning Evasion Attacks

open access: yesCoRR, 2022
8 ...
Arthur Wong   +3 more
openaire   +2 more sources

Accelerated surgery versus standard care in hip fracture (HIP ATTACK): an international, randomised, controlled trial

open access: yes, 2020
Observational studies have suggested that accelerated surgery is associated with improved outcomes in patients with a hip fracture.
(HIP ATTACK Investigators), Landoni G.
core   +1 more source

Deep learning-driven multi-layer intrusion detection and prevention framework for resilient defense against adaptive evasion techniques in modern networks [PDF]

open access: yesInternational Journal of Data and Network Science
Current network security technologies face new threats from determined attackers employing advanced evasion techniques such as IP spoofing, tiny fragment attacks, tunneling, and HTML smuggling. Conventional intrusion detection and prevention systems
Dena Abu Laila   +5 more
doaj   +1 more source

Unmanned aerial vehicle evasion manoeuvres from enemy aircraft attack

open access: yesJournal of the Mechanical Behavior of Materials, 2021
One of the most important problems associated with the combat use of unmanned aerial vehicles remains to ensure their high survivability in conditions of deliberate countermeasures, the source of which can be both ground-based air defence systems and ...
Evdokimenkov Veniamin N.   +2 more
doaj   +1 more source

The Pursuit and Evasion of Drones Attacking an Automated Turret [PDF]

open access: yes2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
This paper investigates the pursuit-evasion problem of a defensive gun turret and one or more attacking drones. The turret must ``visit" each attacking drone once, as quickly as possible, to defeat the threat. This constitutes a Shortest Hamiltonian Path (SHP) through the drones. The investigation considers situations with increasing fidelity, starting
Daniel Biediger   +2 more
openaire   +2 more sources

Detecting Evasion Attacks in Deployed Tree Ensembles

open access: yes, 2023
sponsorship: This research is supported by the Research Foundation - Flanders (LD: 1SB1322N; LP: 1166222N), the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" program (JD), the European Union's Horizon Europe Research and Innovation program under the grant agreement TUPLES No.
Devos, Laurens   +3 more
openaire   +2 more sources

Techniques and metrics for evasion attack mitigation [PDF]

open access: yesComputers & Security
Evasion attacks pose a substantial risk to the application of Machine Learning (ML) in Cybersecurity, potentially leading to safety hazards or security breaches in large-scale deployments. Adversaries can employ evasion attacks as an initial tactic to deceive malware or network scanners using ML, thereby orchestrating traditional cyber attacks to ...
Francesco Bergadano   +2 more
openaire   +3 more sources

Characterizing the Evasion Attackability of Multi-label Classifiers

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2021
Evasion attack in multi-label learning systems is an interesting, widely witnessed, yet rarely explored research topic. Characterizing the crucial factors determining the attackability of the multi-label adversarial threat is the key to interpret the origin of the adversarial vulnerability and to understand how to mitigate it.
Zhuo Yang   +2 more
openaire   +3 more sources

Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey

open access: yes, 2023
Cyber-physical systems (CPS) are increasingly relying on machine learning (ML) techniques to reduce labor costs and improve efficiency. However, the adoption of ML also exposes CPS to potential adversarial ML attacks witnessed in the literature ...
Ko, RKL   +5 more
core   +1 more source

A benchmarking framework and its validation on all evasion attacks on image classifiers listed in the adversarial robustness toolbox

open access: yesJournal of Information and Telecommunication
What is an efficient attack against image classifiers? First, this paper defines a generic benchmarking framework to evaluate the effectiveness of evasion attacks against image classification models with relevant key performance indicators. The framework
Enea Mancellari   +4 more
doaj   +1 more source

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