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Brian Kim
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2020 – today
- 2024
- [j12]Kai Chih Chang
, Haoran Niu
IoT Privacy Risks Revealed. Entropy 26(7): 561 (2024) - [j11]Marnee J. McKay
MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle. J. Imaging 10(11): 262 (2024) - [c19]Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury:
TRACTOR: Traffic Analysis and Classification Tool for Open RAN. ICC 2024: 4894-4899 - [c18]Chinenye Tassie, Brian Kim, Joshua Groen, Mauro Belgiovine, Kaushik R. Chowdhury:
Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN. ICC 2024: 5413-5418 - [c17]Azuka J. Chiejina
System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks. WISEC 2024: 237-247 - [i12]Azuka J. Chiejina, Brian Kim, Kaushik Chowhdury, Vijay K. Shah:
System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks. CoRR abs/2402.06846 (2024) - [i11]Vishesh Prasad, Brian Kim, Nickvash Kani:
Mathematical Derivation Graphs: A Task for Summarizing Equation Dependencies in STEM Manuscripts. CoRR abs/2410.21324 (2024) - 2023
- [c16]Naveen Naik Sapavath, Brian Kim, Kaushik R. Chowdhury, Vijay K. Shah:
Experimental Study of Adversarial Attacks on ML-Based xApps in O-RAN. GLOBECOM 2023: 6352-6357 - [c15]Joshua Groen, Brian Kim, Kaushik R. Chowdhury
The Cost of Securing O-RAN. ICC 2023: 5444-5449 - [i10]Naveen Naik Sapavath, Brian Kim, Kaushik R. Chowdhury, Vijay K. Shah:
Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN. CoRR abs/2309.03844 (2023) - [i9]Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury:
TRACTOR: Traffic Analysis and Classification Tool for Open RAN. CoRR abs/2312.07896 (2023) - 2022
- [b1]Brian Kim:
Adversarial Machine Learning in Wireless Communication Systems. University of Maryland, College Park, MD, USA, 2022 - [j10]Brian Kim, Yalin E. Sagduyu
Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. Entropy 24(8): 1047 (2022) - [j9]Brian Kim
Using geographical data and rolling statistics for diagnostics of respondent-driven sampling. Soc. Networks 69: 74-83 (2022) - [j8]Brian Kim
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. IEEE Trans. Wirel. Commun. 21(6): 3868-3880 (2022) - [c14]Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus:
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. WCNC 2022: 411-416 - 2021
- [c13]Brian Kim, Yi Shi
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. GLOBECOM (Workshops) 2021: 1-6 - [c12]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 - [c11]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond. SSP 2021: 590-594 - [i8]Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond. CoRR abs/2103.13989 (2021) - [i7]Brian Kim, Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. CoRR abs/2109.08139 (2021) - [i6]Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus:
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. CoRR abs/2112.11414 (2021) - 2020
- [c10]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 - [c9]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 - [c8]Moein Enayati, Heather A. Heaton, Rona Wang, Gomathi Marisamy, Nasibeh Zanjirani Farahani
Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet. EMBC 2020: 5718-5721 - [c7]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 - [c6]Shiyun Lin, Ding Wang, Ferdous Khan, Jeannie Chen, Alex Nickel, Brian Kim, Yasuhiro Matsui, Bruce Young, Martin Kwakernaak, Glen Carey, Tsurugi Sudo:
Grating Coupled Laser (GCL) for Si Photonics. OFC 2020: 1-3 - [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]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
- [c5]Siavash Khodadadeh, Sharare Zehtabian, Jonathan Guilbe, Ross Pearlman, Bradley J. Willenberg, Brian Kim, Edward A. Ross, Ladislau Bölöni, Damla Turgut:
Detecting Unsafe Use of a Four-Legged Walker using IoT and Deep Learning. ICC 2019: 1-6 - 2018
- [j7]Stanislav Culaclii
Online Artifact Cancelation in Same-Electrode Neural Stimulation and Recording Using a Combined Hardware and Software Architecture. IEEE Trans. Biomed. Circuits Syst. 12(3): 601-613 (2018) - 2017
- [j6]Brian Kim, Anubav Vasudevan:
How to expect a surprising exam. Synth. 194(8): 3101-3133 (2017) - [j5]Yi-Kai Lo, Yen-Cheng Kuan
A Fully Integrated Wireless SoC for Motor Function Recovery After Spinal Cord Injury. IEEE Trans. Biomed. Circuits Syst. 11(3): 497-509 (2017) - [j4]Brian Kim, Kostas E. Psannis
Special section on emerging multimedia technology for smart surveillance system with IoT environment. J. Supercomput. 73(3): 923-925 (2017) - 2016
- [c4]Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Wentai Liu:
A hybrid hardware and software approach for cancelling stimulus artifacts during same-electrode neural stimulation and recording. EMBC 2016: 6190-6193 - [c3]Yi-Kai Lo, Chih-Wei Chang, Yen-Cheng Kuan
22.2 A 176-channel 0.5cm3 0.7g wireless implant for motor function recovery after spinal cord injury. ISSCC 2016: 382-383 - 2015
- [c2]Brian Kim:
Solving the HI-LO Puzzle. LORI 2015: 421-425 - 2014
- [j3]Dan Ismailescu, Brian Kim
Packing and Covering with Centrally Symmetric Convex Disks. Discret. Comput. Geom. 51(2): 495-508 (2014) - [j2]Brian Kim:
The locality and globality of instrumental rationality: the normative significance of preference reversals. Synth. 191(18): 4353-4376 (2014)
2000 – 2009
- 2007
- [c1]Manseok Yang, Sun Sup So, Steve Eun, Brian Kim, Jinchun Kim:
Sensos: A Sensor Node Operating System with a Device Management Scheme for Sensor Nodes. ITNG 2007: 134-139
1990 – 1999
- 1999
- [j1]David R. Karger
Web Caching with Consistent Hashing. Comput. Networks 31(11-16): 1203-1213 (1999)
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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