E-LIB Suche - Ergebnisse für: Sagduyu, Yalin E

1

Will 6G be Semantic Communications? Opportunities and Chall..:

Sagduyu, Yalin E. ; Erpek, Tugba ; Yener, Aylin.
IEEE Network. , 2024

Link: https://doi.org/10.1109/..

2

Timely NextG Communications with Decoy Assistance against D..:

, In: 2024 IEEE International Conference on Communications Workshops (ICC Workshops),

Costa, Maice ; Sagduyu, Yalin E. - p. 554-559 , 2024

Link: https://doi.org/10.1109/..

3

Securing NextG Systems against Poisoning Attacks on Federat..:

, In: MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM),

Sagduyu, Yalin E. ; Erpek, Tugba ; Shi, Yi - p. 815-820 , 2023

Link: https://doi.org/10.1109/..

4

How to Attack and Defend NextG Radio Access Network Slicing..:

Shi, Yi ; Sagduyu, Yalin E. ; Erpek, Tugba.
IEEE Open Journal of Vehicular Technology. 4 (2023) - p. 181-192 , 2023

Link: https://doi.org/10.1109/..

5

Membership Inference Attack and Defense for Wireless Signal..:

Shi, Yi ; Sagduyu, Yalin E.
IEEE Transactions on Mobile Computing. 22 (2023) 7 - p. 4032-4043 , 2023

Link: https://doi.org/10.1109/..

6

Vulnerabilities of Deep Learning-Driven Semantic Communicat..:

, In: 2023 57th Annual Conference on Information Sciences and Systems (CISS),

Sagduyu, Yalin E. ; Erpek, Tugba ; Ulukus, Sennur. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

7

Adversarial Attacks on LoRa Device Identification and Rogue..:

, In: MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM),

Sagduyu, Yalin E. ; Erpek, Tugba - p. 385-390 , 2023

Link: https://doi.org/10.1109/..

8

How Can the Adversary Effectively Identify Cellular IoT Dev..:

, In: Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning,

Luo, Zhengping Jay ; Pitera, Will A. ; Zhao, Shangqing.. - p. 9-14 , 2023

Link: https://dl.acm.org/doi/1..

9

Jamming Attacks on Decentralized Federated Learning in Gene..:

, In: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),

Shi, Yi ; Sagduyu, Yalin E. ; Erpek, Tugba - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

10

Age of Information in Deep Learning-Driven Task-Oriented Co..:

, In: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),

Sagduyu, Yalin E. ; Ulukus, Sennur ; Yener, Aylin - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

11

Multi - Receiver Task-Oriented Communications via Multi - T..:

, In: 2023 IEEE Future Networks World Forum (FNWF),

Sagduyu, Yalin E. ; Erpek, Tugba ; Yener, Aylin. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

12

Adversarial Machine Learning in Wireless Communications Usi..:

Adesina, Damilola ; Hsieh, Chung-Chu ; Sagduyu, Yalin E..
IEEE Communications Surveys & Tutorials. 25 (2023) 1 - p. 77-100 , 2023

Link: https://doi.org/10.1109/..

13

Self-Supervised RF Signal Representation Learning for NextG..:

Davaslioglu, Kemal ; Boztas, Serdar ; Ertem, Mehmet Can..
IEEE Wireless Communications Letters. 12 (2023) 1 - p. 65-69 , 2023

Link: https://doi.org/10.1109/..

14

Deep Reinforcement Learning for NextG Radio Access Network ..:

Shi, Yi ; Costa, Maice ; Erpek, Tugba.
IEEE Networking Letters. 5 (2023) 3 - p. 149-153 , 2023

Link: https://doi.org/10.1109/..

15

Is Semantic Communication Secure? A Tale of Multi-Domain Ad..:

Sagduyu, Yalin E. ; Erpek, Tugba ; Ulukus, Sennur.
IEEE Communications Magazine. 61 (2023) 11 - p. 50-55 , 2023

Link: https://doi.org/10.1109/..