{"total":17,"rows":[{"id":"2101.02656","title":"Adversarial Machine Learning for 5G Communications Security","created":"2021-01-07","cited_by_count":12,"area":null},{"id":"2101.12090","title":"Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network","created":"2021-01-28","cited_by_count":11,"area":null},{"id":"2101.08724","title":"Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing","created":"2021-01-21","cited_by_count":6,"area":null},{"id":"2103.13989","title":"Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond","created":"2021-03-25","cited_by_count":6,"area":null},{"id":"2201.05172","title":"Jamming Attacks on Federated Learning in Wireless Networks","created":"2022-01-13","cited_by_count":6,"area":null},{"id":"2107.12173","title":"Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning","created":"2021-07-22","cited_by_count":5,"area":null},{"id":"2207.01531","title":"Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples","created":"2022-07-04","cited_by_count":5,"area":null},{"id":"2109.08139","title":"Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications","created":"2021-09-16","cited_by_count":4,"area":null},{"id":"2104.06375","title":"Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling","created":"2021-04-03","cited_by_count":3,"area":null},{"id":"2205.15743","title":"Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks","created":"2022-05-29","cited_by_count":3,"area":null},{"id":"2204.03564","title":"RF Signal Transformation and Classification using Deep Neural Networks","created":"2022-04-06","cited_by_count":1,"area":null},{"id":"2212.11778","title":"Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning","created":"2022-12-22","cited_by_count":1,"area":null},{"id":"2309.16706","title":"AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery","created":"2023-08-17","cited_by_count":1,"area":null},{"id":"2112.11414","title":"Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces","created":"2021-12-21","cited_by_count":0,"area":null},{"id":"2201.08731","title":"Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples","created":"2022-01-20","cited_by_count":0,"area":null},{"id":"2401.03488","title":"Data-Driven Subsampling in the Presence of an Adversarial Actor","created":"2024-01-07","cited_by_count":0,"area":null},{"id":"2409.11454","title":"Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification","created":"2024-09-17","cited_by_count":0,"area":null}],"next_cursor":null}