Adversarial Attacks on Generative AI Anomaly Detection in the Quantum Era-Reference-Cited by-同舟云学术

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Adversarial Attacks on Generative AI Anomaly Detection in the Quantum Era

Published:2023-11-22 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

A Jenefa¹,Ebenezer V¹,Isaac A Joshua¹,Marshell Joe²,Pradeepa P.³,Naveen V⁴

Affiliation:

1. Karunya Institute of Tech. and Sci.,Dept. of CSE,Coimbatore,India

2. SRM Valliammai Engineering College,Dept. of Electronics and Instrumentation Engg,Kattankulathur

3. PSNA college of Engg and tech.,Dept. of IT,Dindigul

4. Sri Shakthi Institute of Engg. and Tech.,Dept. of CSE,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10394672/10394681/10395092.pdf?arnumber=10395092

Reference30 articles.

1. Robust detection of unknown DoS/DDoS attacks in IoT networks using a hybrid learning model

2. A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection;Ming;arXiv preprint,2023

3. Algorithm for Recognition of Network Traffic Anomalies Based on Artificial Intelligence

4. AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey

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2. Enhancing distributed agent environments with quantum multi-agent systems and protocols;Multiagent and Grid Systems;2024-08-12

3. Enhancing quantum state tomography: utilizing advanced statistical techniques for optimized quantum state reconstructions;Journal of the Korean Physical Society;2024-08-01

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