Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …
Adversarial Attack Detection Approach for Intrusion Detection Systems
The adoption of deep learning has exposed significant vulnerabilities, especially to
adversarial attacks that cause misclassifications through subtle small perturbations. Such …
adversarial attacks that cause misclassifications through subtle small perturbations. Such …
[PDF][PDF] Hybrid encryption based on a generative adversarial network
I Amir, H Suhaimi, R Mohamad… - Indonesian Journal of …, 2024 - researchgate.net
In today's world, encryption is crucial for protecting sensitive data. Neural networks can
provide security against adversarial attacks, but meticulous training and vulnerability …
provide security against adversarial attacks, but meticulous training and vulnerability …
Improving Network Security with Hybrid Model for DDoS Attack Detection
M Dandotiya, RRS Makwana - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
One of the most devastating forms of attack in the modern day is cyber-attacks. DDoS
(Distributed Denial of Service) attacks are one kind of cyberattack. It is a kind of cyberattack …
(Distributed Denial of Service) attacks are one kind of cyberattack. It is a kind of cyberattack …
Risk Accessment of Machine Learning Algorithms on Manipulated Dataset in Power Systems
SY Diaba, M Shafie-Khah, M Mekkanen… - … on Future Energy …, 2023 - ieeexplore.ieee.org
The emergence of the communication infrastructure in power systems has increased the
variety and sophistication of network assaults. Intrusion Detection Systems'(IDS) importance …
variety and sophistication of network assaults. Intrusion Detection Systems'(IDS) importance …