default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKemal Davaslioglu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i29]Kemal Davaslioglu, Sastry Kompella, Tugba Erpek, Yalin E. Sagduyu:
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation. CoRR abs/2410.10521 (2024)- [i28]Srihari K. Kompella, Kemal Davaslioglu, Yalin E. Sagduyu, Sastry Kompella:
Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals. CoRR abs/2410.18283 (2024) - 2023
- [j10]Kemal Davaslioglu
, Serdar Boztas, Mehmet Can Ertem, Yalin E. Sagduyu, Ender Ayanoglu:
Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning. IEEE Wirel. Commun. Lett. 12(1): 65-69 (2023) - 2022
- [j9]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. Entropy 24(8): 1047 (2022) - [j8]Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu:
Machine Learning in NextG Networks via Generative Adversarial Networks. IEEE Trans. Cogn. Commun. Netw. 8(2): 480-501 (2022) - [j7]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. IEEE Trans. Wirel. Commun. 21(6): 3868-3880 (2022) - [c27]Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
Autoencoder Communications with Optimized Interference Suppression for NextG RAN. FNWF 2022: 164-169 - [c26]Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu:
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems. MILCOM 2022: 547-552 - [i27]Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu:
End-to-End Autoencoder Communications with Optimized Interference Suppression. CoRR abs/2201.01388 (2022) - [i26]Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu:
Machine Learning in NextG Networks via Generative Adversarial Networks. CoRR abs/2203.04453 (2022) - [i25]Kemal Davaslioglu, Serdar Boztas, Mehmet Can Ertem, Yalin E. Sagduyu, Ender Ayanoglu:
Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning. CoRR abs/2207.03046 (2022) - [i24]Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu:
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems. CoRR abs/2211.01107 (2022) - 2021
- [j6]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing. IEEE Trans. Cogn. Commun. Netw. 7(1): 294-303 (2021) - [j5]Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu:
DeepWiFi: Cognitive WiFi with Deep Learning. IEEE Trans. Mob. Comput. 20(2): 429-444 (2021) - [c25]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. ICC 2021: 1-6 - 2020
- [c24]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. ACSSC 2020: 763-767 - [c23]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. CISS 2020: 1-6 - [c22]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. GLOBECOM (Workshops) 2020: 1-6 - [c21]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers. WiseML@WiSec 2020: 61-66 - [i23]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. CoRR abs/2002.02400 (2020) - [i22]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. CoRR abs/2005.05321 (2020) - [i21]Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. CoRR abs/2005.07675 (2020) - [i20]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers. CoRR abs/2006.14576 (2020) - [i19]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing. CoRR abs/2007.08363 (2020) - [i18]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. CoRR abs/2007.16204 (2020) - [i17]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. CoRR abs/2012.02160 (2020)
2010 – 2019
- 2019
- [c20]Kemal Davaslioglu, Bob Pokorny, Yalin E. Sagduyu, Henrik Molintas, Sohraab Soltani, Rebecca Grossman, Clint A. Bowers:
Measuring the Collective Allostatic Load. CogSIMA 2019: 93-99 - [c19]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, Michael Fowler, Gilbert Green:
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. DySPAN 2019: 1-10 - [c18]Kemal Davaslioglu, Yalin E. Sagduyu:
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning. DySPAN 2019: 1-6 - [c17]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA. DySPAN 2019: 1-2 - [c16]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. MILCOM 2019: 1-6 - [c15]Nof Abuzainab, Volkan Isler, Aylin Yener, Tugba Erpek, Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, Sharon J. Mackey, Mitesh P. Patel, Frank Panettieri, Muhammad A. Qureshi:
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning. MILCOM 2019: 610-615 - [c14]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network for Wireless Signal Spoofing. WiseML@WiSec 2019: 55-60 - [i16]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data. CoRR abs/1901.09113 (2019) - [i15]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network for Wireless Signal Spoofing. CoRR abs/1905.01008 (2019) - [i14]Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, Michael Fowler, Gilbert Green:
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. CoRR abs/1909.11800 (2019) - [i13]Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. CoRR abs/1910.05765 (2019) - [i12]Nof Abuzainab, Tugba Erpek, Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, Sharon J. Mackey, Mitesh P. Patel, Frank Panettieri, Muhammad A. Qureshi, Volkan Isler, Aylin Yener:
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning. CoRR abs/1910.05766 (2019) - [i11]Kemal Davaslioglu, Yalin E. Sagduyu:
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning. CoRR abs/1910.10766 (2019) - [i10]Kemal Davaslioglu, Sohraab Soltani, Tugba Erpek, Yalin E. Sagduyu:
DeepWiFi: Cognitive WiFi with Deep Learning. CoRR abs/1910.13315 (2019) - 2018
- [c13]Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Zhuo Lu, Jason H. Li:
Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies. ICC Workshops 2018: 1-6 - [c12]Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Learning for Spectrum Sensing. ICC 2018: 1-6 - [c11]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data. ISSPIT 2018: 453-458 - [c10]Tugba Erpek, Yalin E. Sagduyu, Yi Shi, Maice Costa, Kemal Davaslioglu, Hao Han, Daniel Fayette, Eric Johnson, Elizabeth S. Bentley, Clif Banner:
Routing, Network Coding and TCP Support for Wideband HF Communications. MILCOM 2018: 157-162 - [p1]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Renato Levy:
Vulnerability Detection and Analysis in Adversarial Deep Learning. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 211-234 - [i9]Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Learning for Spectrum Sensing. CoRR abs/1804.00709 (2018) - [i8]Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls. CoRR abs/1811.01811 (2018) - 2017
- [j4]Cemil Can Coskun, Kemal Davaslioglu, Ender Ayanoglu:
Three-Stage Resource Allocation Algorithm for Energy-Efficient Heterogeneous Networks. IEEE Trans. Veh. Technol. 66(8): 6942-6957 (2017) - [c9]Yang Liu, Kemal Davaslioglu, Richard D. Gitlin:
Energy efficiency and resource allocation of IEEE 802.15.6 IR-UWB WBANs: Current state-of-the-art and future directions. ITA 2017: 1-10 - [c8]Nabeel I. Sulieman, Eren Balevi, Kemal Davaslioglu, Richard D. Gitlin:
Diversity and network coded 5G fronthaul wireless networks for ultra reliable and low latency communications. PIMRC 2017: 1-6 - [c7]Yang Liu, Kemal Davaslioglu, Richard D. Gitlin:
Energy Efficiency Optimization of Channel Access Probabilities in IEEE 802.15.6 UWB WBANs. WCNC 2017: 1-6 - [c6]Nabeel Sulieman, Kemal Davaslioglu, Richard D. Gitlin:
Diversity coded 5G fronthaul wireless networks. WTS 2017: 1-5 - 2016
- [c5]Kemal Davaslioglu, Yang Liu, Richard D. Gitlin:
CLOEE - Cross-Layer Optimization for Energy Efficiency of IEEE 802.15.6 IR-UWB WBANs. GLOBECOM 2016: 1-7 - [c4]Kemal Davaslioglu, Cemil Can Coskun, Ender Ayanoglu:
New algorithms for maximizing cellular wireless network energy efficiency. ITA 2016: 1-10 - [i7]Kemal Davaslioglu, Yang Liu, Richard D. Gitlin:
CLOEE - Cross-Layer Optimization for Energy Efficiency of IEEE 802.15.6 IR-UWB WBANs. CoRR abs/1609.05256 (2016) - [i6]Yang Liu, Kemal Davaslioglu, Richard D. Gitlin:
Energy Efficiency Optimization of Channel Access Probabilities in IEEE 802.15.6 UWB WBANs. CoRR abs/1610.02092 (2016) - [i5]Kemal Davaslioglu, Cemil Can Coskun, Ender Ayanoglu:
New Algorithms for Maximizing Cellular Wireless Network Energy Efficiency. CoRR abs/1610.04950 (2016) - 2015
- [b1]Kemal Davaslioglu:
Energy Efficiency and Load Balancing in Next-Generation Wireless Cellular Networks. University of California, Irvine, USA, 2015 - [j3]Kemal Davaslioglu, Cemil Can Coskun, Ender Ayanoglu:
Energy-Efficient Resource Allocation for Fractional Frequency Reuse in Heterogeneous Networks. IEEE Trans. Wirel. Commun. 14(10): 5484-5497 (2015) - [c3]Cemil Can Coskun, Kemal Davaslioglu, Ender Ayanoglu:
An Energy-Efficient Resource Allocation Algorithm with QoS Constraints for Heterogeneous Networks. GLOBECOM 2015: 1-7 - [i4]Kemal Davaslioglu, Ender Ayanoglu:
Quantifying Potential Energy Efficiency Gain in Green Cellular Wireless Networks. CoRR abs/1501.06099 (2015) - 2014
- [j2]Kemal Davaslioglu, Ender Ayanoglu:
Quantifying Potential Energy Efficiency Gain in Green Cellular Wireless Networks. IEEE Commun. Surv. Tutorials 16(4): 2065-2091 (2014) - [j1]Kemal Davaslioglu, Ender Ayanoglu:
Efficiency and Fairness Trade-Offs in SC-FDMA Schedulers. IEEE Trans. Wirel. Commun. 13(6): 2991-3002 (2014) - 2013
- [c2]Kemal Davaslioglu, Ender Ayanoglu:
Interference-based cell selection in heterogenous networks. ITA 2013: 1-6 - [i3]Kemal Davaslioglu, Ender Ayanoglu:
Common Rate Maximization in Two-Layer Cellular Radio Systems. CoRR abs/1302.7046 (2013) - [i2]Kemal Davaslioglu, Ender Ayanoglu:
Interference-Based Cell Selection in Heterogenous Networks. CoRR abs/1302.7048 (2013) - 2012
- [c1]Kemal Davaslioglu, Ender Ayanoglu:
Common rate maximization in two-layer cellular radio systems. GLOBECOM Workshops 2012: 1096-1101 - [i1]Kemal Davaslioglu, Ender Ayanoglu:
Power Control in Multi-Layer Cellular Networks. CoRR abs/1203.6131 (2012)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 21:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
