Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning [PDF]
, 2020 Jirong Yi, Raghu Mudumbai, Weiyu Xu
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Privacy Risks of Securing Machine Learning Models against Adversarial Examples [PDF]
, 2019 Li-Wei Song, Reza Shokri, Prateek Mittal
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Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT
IEEE AccessMachine learning-based Distributed Denial of Service (DDoS) attack detection systems have proven effective in detecting and preventing DDoD attacks in Internet of Things (IoT) systems.
Yonas Kibret Beshah +2 more
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Large-scale strategic games and adversarial machine learning [PDF]
, 2016 Tansu Alpcan +2 more
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Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of\n Graph Machine Learning [PDF]
, 2021 Qinkai Zheng +7 more
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ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning [PDF]
, 2023 Biagio Montaruli +7 more
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Adversarial machine learning for network intrusion detection: A comparative study
Comput. Networks, 2022 Houda Jmila, Mohamed Ibn Khedher
semanticscholar +1 more source
Evasive attacks against autoencoder-based cyberattack detection systems in power systems
Energy and AIThe digital transformation process of power systems towards smart grids is resulting in improved reliability, efficiency and situational awareness at the expense of increased cybersecurity vulnerabilities. Given the availability of large volumes of smart
Yew Meng Khaw +3 more
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A Multi-Split Cross-Strategy for Enhancing Machine Learning Algorithms Prediction Results with Data Generated by Conditional Generative Adversarial Network [PDF]
Abdelfattah Abassi +6 more
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Adversarial Examples for Captcha Generation Adversarial Machine Learning for Social Good
, 2023 Chen Hajaj, Meir Litman
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