{"total":23,"rows":[{"id":"2101.02656","title":"Adversarial Machine Learning for 5G Communications Security","created":"2021-01-07","cited_by_count":12,"area":null},{"id":"2401.01531","title":"Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing","created":"2024-01-03","cited_by_count":11,"area":null},{"id":"2212.10438","title":"Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks","created":"2022-12-20","cited_by_count":10,"area":null},{"id":"2212.11205","title":"Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks","created":"2022-12-21","cited_by_count":10,"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":"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":"2301.05250","title":"Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks","created":"2023-01-12","cited_by_count":4,"area":null},{"id":"2401.01537","title":"The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers","created":"2024-01-03","cited_by_count":3,"area":null},{"id":"2410.06339","title":"Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification","created":"2024-10-08","cited_by_count":3,"area":null},{"id":"2309.17401","title":"Adversarial Attacks to Latent Representations of Distributed Neural Networks in Split Computing","created":"2023-09-29","cited_by_count":2,"area":null},{"id":"2312.17164","title":"Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution","created":"2023-12-28","cited_by_count":2,"area":null},{"id":"2512.12002","title":"Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification","created":"2025-12-12","cited_by_count":2,"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":"2312.16715","title":"Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning","created":"2023-12-27","cited_by_count":1,"area":null},{"id":"2410.21521","title":"A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications","created":"2024-10-28","cited_by_count":1,"area":null},{"id":"2412.21164","title":"Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning","created":"2024-12-30","cited_by_count":1,"area":null},{"id":"2509.20411","title":"Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation","created":"2025-09-24","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":"2305.08929","title":"AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction","created":"2023-05-15","cited_by_count":0,"area":null},{"id":"2409.02430","title":"Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers","created":"2024-09-04","cited_by_count":0,"area":null},{"id":"2509.18933","title":"Accurate and Efficient Prediction of Wi-Fi Link Quality Based on Machine Learning","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2602.09848","title":"Robust Processing and Learning: Principles, Methods, and Wireless Applications","created":"2026-02-10","cited_by_count":0,"area":null}],"next_cursor":null}