Brian Kim - RankMe

55 papers B 3C 1Misc 2Journal 27Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Interpolating Neural Network (B-INN): a scalable and reliable Bayesian model for large-scale physical systems. CoRR Chanwook Park, Brian Kim, Jiachen Guo, Wing Kam Liu
2025	C	`conf`	A Longitudinal Look at GDPR Compliance. PST Brian Kim, Yang Trista Cao, K. Suzanne Barber
2025	—	`conf`	Deep Reinforcement Learning Based Routing for Heterogeneous Multi-Hop Wireless Networks. MILCOM Brian Kim, Han-Bae Kong, Terrence J. Moore, Fikadu T. Dagefu
2025	J	`jnl`	Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks. CoRR Brian Kim, Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2025	—	`conf`	IRS-enabled mmWave Signal Obfuscation for LEO Nanosatellites. MILCOM Fiona Tisdall, S. Johnson, Morriel Kasher, Fikadu T. Dagefu, Jihun Choi, Justin Kong, Brian Kim, Predrag Spasojevic
2025	J	`jnl`	Judgment of Social Traits and Emotions of "Neutral" Avatars. Cyberpsychology Behav. Soc. Netw. Katrina S. Rbeiz, Michael Sangimino, Hyeon-Seung Lee, Olivia Jelsma, Mingyuan Li, Brian Kim, Robert Bodenheimer, Sohee Park
2025	—	`conf`	On Covertness of DSSS Against Energy and Cycle Detectors Under Link QoS Requirements. VTC2025-Spring Rahul Aggarwal, Fikadu T. Dagefu, Justin Kong, Jihun Choi, Brian Kim, Predrag Spasojevic
2025	—	`conf`	Reinforcement Learning for Covert Heterogeneous Wireless Network Routing with a Threat Region. CCNC Brian Kim, Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2025	B	`conf`	Safe and Reliable Deep Reinforcement Learning for Covert Routing. MASS Amirhossein Roknilamouki, Fikadu T. Dagefu, Eylem Ekici, Brian Kim, Justin Kong, Terrence J. Moore, Yin Sun, Ness B. Shroff
2024	—	`conf`	Experimental Analysis of Covert CDMA Against Energy and Cycle Detecting Adversaries. MILCOM S. Johnson, Morriel Kasher, Rahul Aggarwal, J. Callinan, M. Elo, Predrag Spasojevic, Fikadu T. Dagefu, Justin Kong, Jihun Choi, Brian Kim
2024	J	`jnl`	IoT Privacy Risks Revealed. Entropy Kai Chih Chang, Haoran Niu, Brian Kim, K. Suzanne Barber
2024	—	`conf`	Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN. ICC Chinenye Tassie, Brian Kim, Joshua Groen, Mauro Belgiovine, Kaushik R. Chowdhury
2024	J	`jnl`	Mathematical Derivation Graphs: A Task for Summarizing Equation Dependencies in STEM Manuscripts. CoRR Vishesh Prasad, Brian Kim, Nickvash Kani
2024	J	`jnl`	MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle. J. Imaging Marnee J. McKay, Kenneth Arnold Weber II, Evert O. Wesselink, Zachary A. Smith, Rebecca Abbott, David B. Anderson, Claire E. Ashton-James, John Atyeo, Aaron J. Beach, Joshua Burns, Stephen Clarke, Natalie J. Collins, Michel W. Coppieters, Jon Cornwall, Rebecca J. Crawford, Enrico De Martino, Adam G. Dunn, Jillian P. Eyles, Henry J. Feng, Maryse Fortin, Melinda M. Franettovich Smith, Graham J. Galloway, Ziba Gandomkar, Sarah Glastras, Luke A. Henderson, Julie A. Hides, Claire E. Hiller, Sarah N. Hilmer, Mark A. Hoggarth, Brian Kim, Navneet Lal, Laura Laporta, John S. Magnussen, Sarah Maloney, Lyn March, Andrea G. Nackley, Shaun P. O'leary, Anneli Peolsson, Zuzana Perraton, Annelies L. Pool-Goudzwaard, Margaret Schnitzler, Amee L. Seitz, Adam I. Semciw, Philip W. Sheard, Andrew C. Smith, Suzanne J. Snodgrass, Justin Sullivan, Vienna Tran, Stephanie Valentin, David M. Walton, Laurelie R. Wishart, James M. Elliott
2024	—	`conf`	Reinforcement Learning Based Covert Routing with Node Failure Resiliency for Heterogeneous Networks. MILCOM Brian Kim, Justin Kong, Terrence J. Moore, Fikadu T. Dagefu
2024	—	`conf`	System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks. WISEC Azuka J. Chiejina, Brian Kim, Kaushik R. Chowdhury, Vijay K. Shah
2024	J	`jnl`	System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks. CoRR Azuka J. Chiejina, Brian Kim, Kaushik R. Chowdhury, Vijay K. Shah
2024	—	`conf`	TRACTOR: Traffic Analysis and Classification Tool for Open RAN. ICC Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury
2023	B	`conf`	Experimental Study of Adversarial Attacks on ML-Based xApps in O-RAN. GLOBECOM Naveen Naik Sapavath, Brian Kim, Kaushik R. Chowdhury, Vijay K. Shah
2023	J	`jnl`	Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN. CoRR Naveen Naik Sapavath, Brian Kim, Kaushik R. Chowdhury, Vijay K. Shah
2023	J	`jnl`	TRACTOR: Traffic Analysis and Classification Tool for Open RAN. CoRR Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury
2023	—	`conf`	The Cost of Securing O-RAN. ICC Joshua Groen, Brian Kim, Kaushik R. Chowdhury
2022	J	`jnl`	Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas. Entropy Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
2022	—	`—`	Adversarial Machine Learning in Wireless Communication Systems. Brian Kim
2022	J	`jnl`	Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. IEEE Trans. Wirel. Commun. Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
2022	B	`conf`	Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. WCNC Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus
2022	J	`jnl`	Using geographical data and rolling statistics for diagnostics of respondent-driven sampling. Soc. Networks Brian Kim, Moses Ogwal, Enos Sande, Herbert Kiyingi, David Serwadda, Wolfgang Hladik
2021	—	`conf`	Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. GLOBECOM (Workshops) Brian Kim, Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus
2021	J	`jnl`	Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. CoRR Brian Kim, Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus
2021	—	`conf`	Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G And Beyond. SSP Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus
2021	J	`jnl`	Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond. CoRR Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus
2021	—	`conf`	Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. ICC Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus
2021	J	`jnl`	Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. CoRR Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus
2020	—	`conf`	Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. GLOBECOM (Workshops) Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus
2020	J	`jnl`	Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers. CoRR Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus
2020	J	`jnl`	Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. CoRR Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus
2020	J	`jnl`	Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. CoRR Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
2020	—	`conf`	Grating Coupled Laser (GCL) for Si Photonics. OFC Shiyun Lin, Ding Wang, Ferdous Khan, Jeannie Chen, Alex Nickel, Brian Kim, Yasuhiro Matsui, Bruce Young, Martin Kwakernaak, Glen Carey, Tsurugi Sudo
2020	Misc	`conf`	How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. ACSSC Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
2020	J	`jnl`	How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. CoRR Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
2020	Misc	`conf`	Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. CISS Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
2020	J	`jnl`	Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. CoRR Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus
2020	—	`conf`	Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet. EMBC Moein Enayati, Heather A. Heaton, Rona Wang, Gomathi Marisamy, Nasibeh Zanjirani Farahani, Thomas R. Hellmich, Kalyan S. Pasupathy, Brian Kim, David M. Nestler
2019	—	`conf`	Detecting Unsafe Use of a Four-Legged Walker using IoT and Deep Learning. ICC Siavash Khodadadeh, Sharare Zehtabian, Jonathan Guilbe, Ross Pearlman, Bradley J. Willenberg, Brian Kim, Edward A. Ross, Ladislau Bölöni, Damla Turgut
2018	J	`jnl`	Online Artifact Cancelation in Same-Electrode Neural Stimulation and Recording Using a Combined Hardware and Software Architecture. IEEE Trans. Biomed. Circuits Syst. Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Lin Li, Wentai Liu
2017	J	`jnl`	A Fully Integrated Wireless SoC for Motor Function Recovery After Spinal Cord Injury. IEEE Trans. Biomed. Circuits Syst. Yi-Kai Lo, Yen-Cheng Kuan, Stanislav Culaclii, Brian Kim, Po-Min Wang, Chih-Wei Chang, Jonathan A. Massachi, Minji Zhu, Kuanfu Chen, Parag Gad, V. Reggie Edgerton, Wentai Liu
2017	J	`jnl`	How to expect a surprising exam. Synth. Brian Kim, Anubav Vasudevan
2017	J	`jnl`	Special section on emerging multimedia technology for smart surveillance system with IoT environment. J. Supercomput. Brian Kim, Kostas E. Psannis, Harish Bhaskar
2016	—	`conf`	22.2 A 176-channel 0.5cm3 0.7g wireless implant for motor function recovery after spinal cord injury. ISSCC Yi-Kai Lo, Chih-Wei Chang, Yen-Cheng Kuan, Stanislav Culaclii, Brian Kim, Kuanfu Chen, Parag Gad, V. Reggie Edgerton, Wentai Liu
2016	—	`conf`	A hybrid hardware and software approach for cancelling stimulus artifacts during same-electrode neural stimulation and recording. EMBC Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Wentai Liu
2015	—	`conf`	Solving the HI-LO Puzzle. LORI Brian Kim
2014	J	`jnl`	Packing and Covering with Centrally Symmetric Convex Disks. Discret. Comput. Geom. Dan Ismailescu, Brian Kim
2014	J	`jnl`	The locality and globality of instrumental rationality: the normative significance of preference reversals. Synth. Brian Kim
2007	—	`conf`	Sensos: A Sensor Node Operating System with a Device Management Scheme for Sensor Nodes. ITNG Manseok Yang, Sun Sup So, Steve Eun, Brian Kim, Jinchun Kim
1999	J	`jnl`	Web Caching with Consistent Hashing. Comput. Networks David R. Karger, Alex Sherman, Andy Berkheimer, Bill Bogstad, Rizwan Dhanidina, Ken Iwamoto, Brian Kim, Luke Matkins, Yoav Yerushalmi