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"

33 / 33 papers shown

Title
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 154 9 0 28 Feb 2025
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks Li Yang Shimaa A. Naser Abdallah Shami Sami Muhaidat Lyndon Ong Merouane Debbah 105 2 0 28 Feb 2025
Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks Hunmin Lee Hongju Seong Wonbin Kim Hyeokchan Kwon Daehee Seo 53 0 0 16 Oct 2024
Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution Y. Sagduyu T. Erpek Yi Shi AAML 67 2 0 28 Dec 2023
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery Jinyin Chen Jie Ge Shilian Zheng Linhui Ye Haibin Zheng Weiguo Shen Keqiang Yue Xiaoniu Yang AAML 49 2 0 17 Aug 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 95 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 91 18 0 02 Mar 2023
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning Y. Sagduyu AAML 50 2 0 22 Dec 2022
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 84 37 0 24 Oct 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 100 16 0 04 Jul 2022
A Deep Learning Approach to Create DNS Amplification Attacks Jared Mathews Prosenjit Chatterjee S. Banik Cory Nance AAML 32 1 0 29 Jun 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 52 20 0 06 Apr 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck Junho Kim Byung-Kwan Lee Yong Man Ro AAML 51 46 0 06 Apr 2022
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks Arman Pashamokhtari Gustavo E. A. P. A. Batista Hassan Habibi Gharakheili AAML 68 9 0 18 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 65 34 0 09 Mar 2022
Jamming Attacks on Federated Learning in Wireless Networks Yi Shi Y. Sagduyu 93 12 0 13 Jan 2022
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges Qun Wang Haijian Sun R. Hu Arupjyoti Bhuyan 81 24 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 83 27 0 16 Sep 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 78 17 0 22 Jul 2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond Brian Kim Y. Sagduyu T. Erpek S. Ulukus AAML 78 23 0 25 Mar 2021
Adversarial Machine Learning for 5G Communications Security Y. Sagduyu T. Erpek Yi Shi AAML 85 43 0 07 Jan 2021
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers Brian Kim Y. Sagduyu T. Erpek Kemal Davaslioglu S. Ulukus AAML 64 20 0 03 Dec 2020
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 51 29 0 15 May 2020
Deep Learning for Wireless Communications T. Erpek Tim O'Shea Y. Sagduyu Yi Shi T. Clancy 92 138 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 89 119 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 73 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 95 70 0 06 Nov 2019
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning Kemal Davaslioglu Y. Sagduyu AAML 56 58 0 23 Oct 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 48 32 0 13 Oct 2019
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments Yi Shi Kemal Davaslioglu Y. Sagduyu William C. Headley Michael Fowler Gilbert Green 49 93 0 25 Sep 2019
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing Z. Luo Shangqing Zhao Zhuo Lu Jie Xu Y. Sagduyu AAML 81 53 0 04 May 2019
Machine Learning in IoT Security: Current Solutions and Future Challenges Fatima Hussain Rasheed Hussain Syed Ali Hassan Ekram Hossain 87 536 0 14 Mar 2019
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection Muhammad Zaid Hameed András Gyorgy Deniz Gunduz AAML 83 73 0 27 Feb 2019