69 citations · 237 across the 22 of their papers we have counts for
26 papers
Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays
Justin McMillen, Gokhan Mumcu, Yasin Yilmaz
Radio frequency (RF) fingerprinting is a tool which allows for authentication by utilizing distinct and random distortions in a received signal based on characteristics of the tran…
RSU-Based Online Intrusion Detection and Mitigation for VANET
Ammar Haydari, Yasin Yilmaz
Secure vehicular communication is a critical factor for secure traffic management. Effective security in intelligent transportation systems (ITS) requires effective and timely intr…
Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities
Almuthanna Nassar, Yasin Yilmaz
Intelligent vehicular systems and smart city applications are the fastest growing Internet of things (IoT) implementations at a compound annual growth rate of 30%. In view of the r…
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos is attracting an increasing amount of attention. Despite the competitive performance of recent methods, they lack theoretical performance a…
Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks
Keval Doshi, Yasin Yilmaz, Suleyman Uludag
Internet of Things (IoT) networks consist of sensors, actuators, mobile and wearable devices that can connect to the Internet. With billions of such devices already in the market w…
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari, Yasin Yilmaz
Latest technological improvements increased the quality of transportation. New data-driven approaches bring out a new research direction for all control-based systems, e.g., in tra…
Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos has been recently gaining attention. A challenging aspect of high-dimensional applications such as video surveillance is continual learning…
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos has been recently gaining attention. Even though the performance of state-of-the-art methods on publicly available data sets has been compe…
Online Multivariate Anomaly Detection and Localization for High-dimensional Settings
Mahsa Mozaffari, Yasin Yilmaz
This paper considers the real-time detection of anomalies in high-dimensional systems. The goal is to detect anomalies quickly and accurately so that the appropriate countermeasure…
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings
Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
Timely detection of abrupt anomalies is crucial for real-time monitoring and security of modern systems producing high-dimensional data. With this goal, we propose effective and sc…
Reinforcement Learning-based Resource Allocation in Fog RAN for IoT with Heterogeneous Latency Requirements
Almuthanna T. Nassar, Yasin Yilmaz
In light of the quick proliferation of Internet of things (IoT) devices and applications, fog radio access network (Fog-RAN) has been recently proposed for fifth generation (5G) wi…
Anomaly Detection in Partially Observed Traffic Networks
Elizabeth Hou, Yasin Yilmaz, Alfred Hero
This paper addresses the problem of detecting anomalous activity in traffic networks where the network is not directly observed. Given knowledge of what the node-to-node traffic in…
Online Nonparametric Anomaly Detection based on Geometric Entropy Minimization
Yasin Yilmaz
We consider the online and nonparametric detection of abrupt and persistent anomalies, such as a change in the regular system dynamics at a time instance due to an anomalous event…
Online Diversion Detection in Nuclear Fuel Cycles via Multimodal Observations
Yasin Yilmaz, Elizabeth Hou, Alfred O. Hero
In nuclear fuel cycles, an enrichment facility typically provides low enriched uranium (LEU) to a number of customers. We consider monitoring an enrichment facility to timely detec…
Diversion Detection in Partially Observed Nuclear Fuel Cycle Networks
Elizabeth Hou, Yasin Yılmaz, Alfred O. Hero
A nuclear fuel cycle contains several facilities with different purposes such as mining, conversion, enrichment, and fuel rod fabrication. These facilities form a network, which is…
Multimodal Event Detection in Twitter Hashtag Networks
Yasin Yilmaz, Alfred Hero
Event detection in a multimodal Twitter dataset is considered. We treat the hashtags in the dataset as instances with two modes: text and geolocation features. The text feature con…
Multimodal Factor Analysis
Yasin Yilmaz, Alfred O. Hero
A multimodal system with Poisson, Gaussian, and multinomial observations is considered. A generative graphical model that combines multiple modalities through common factor loading…
Sequential Joint Detection and Estimation: Optimum Tests and Applications
Yasin Yilmaz, Shang Li, Xiaodong Wang
We treat the statistical inference problems in which one needs to detect and estimate simultaneously using as small number of samples as possible. Conventional methods treat the de…
Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access
Yasin Yilmaz, Ziyu Guo, Xiaodong Wang
Dynamic spectrum access under channel uncertainties is considered. With the goal of maximizing the secondary user (SU) throughput subject to constraints on the primary user (PU) ou…
Sequential Joint Detection and Estimation
Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
We consider the problem of simultaneous detection and estimation under a sequential framework. In particular we are interested in sequential tests that distinguish between the null…
Sequential Distributed Detection in Energy-Constrained Wireless Sensor Networks
Yasin Yilmaz, Xiaodong Wang
The recently proposed sequential distributed detector based on level-triggered sampling operates as simple as the decision fusion techniques and at the same time performs as well a…
Optimal Sequential Joint Detection and Estimation
Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
This paper has been withdrawn by the authors. Please see arXiv:1302.6058. We consider the sequential joint detection and estimation problem. Minimizing the average stopping time su…
Sequential and Decentralized Estimation of Linear Regression Parameters in Wireless Sensor Networks
Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
Sequential estimation of a vector of linear regression coefficients is considered under both centralized and decentralized setups. In sequential estimation, the number of observati…
Sequential Decentralized Parameter Estimation under Randomly Observed Fisher Information
Yasin Yilmaz, Xiaodong Wang
We consider the problem of decentralized estimation using wireless sensor networks. Specifically, we propose a novel framework based on level-triggered sampling, a non-uniform samp…