IoT Network Security from the Perspective of Adversarial Deep Learning

IoT Network Security from the Perspective of Adversarial Deep Learning

31 May 2019

Papers citing "IoT Network Security from the Perspective of Adversarial Deep Learning"

16 / 16 papers shown

Title
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 92 6 0 28 Feb 2025
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 33 9 0 14 Jul 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression Junho Kim Byung-Kwan Lee Yonghyun Ro CML AAML 28 18 0 02 Mar 2023
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 32 32 0 24 Oct 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 40 15 0 04 Jul 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 24 34 0 09 Mar 2022
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges Qun Wang Haijian Sun R. Hu Arupjyoti Bhuyan 31 23 0 12 Jan 2022
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications Brian Kim Yi Shi Y. Sagduyu T. Erpek S. Ulukus AAML 25 27 0 16 Sep 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 19 16 0 22 Jul 2021
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 17 29 0 15 May 2020
Deep Learning for Wireless Communications T. Erpek Tim O'Shea Y. Sagduyu Yi Shi T. Clancy 34 135 0 12 May 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 23 111 0 11 May 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions Y. Sagduyu Yi Shi T. Erpek William C. Headley Bryse Flowers G. Stantchev Zhuo Lu AAML 20 39 0 24 Jan 2020
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 37 68 0 06 Nov 2019
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification S. Soltani Y. Sagduyu Raqibul Hasan Kemal Davaslioglu Hongmei Deng T. Erpek 28 31 0 13 Oct 2019
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection Muhammad Zaid Hameed András Gyorgy Deniz Gunduz AAML 21 72 0 27 Feb 2019