184 citations · 284 across the 8 of their papers we have counts for
11 papers
Multimodal Attack Detection for Action Recognition Models
Furkan Mumcu, Yasin Yilmaz
Adversarial machine learning attacks on video action recognition models is a growing research area and many effective attacks were introduced in recent years. These attacks show th…
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Furkan Mumcu, Keval Doshi, Yasin Yilmaz
Anomaly detection in videos is an important computer vision problem with various applications including automated video surveillance. Although adversarial attacks on image understa…
TiSAT: Time Series Anomaly Transformer
Keval Doshi, Shatha Abudalou, Yasin Yilmaz
While anomaly detection in time series has been an active area of research for several years, most recent approaches employ an inadequate evaluation criterion leading to an inflate…
End-to-End Semantic Video Transformer for Zero-Shot Action Recognition
Keval Doshi, Yasin Yilmaz
While video action recognition has been an active area of research for several years, zero-shot action recognition has only recently started gaining traction. In this work, we prop…
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models
Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero
The commonly used latent space embedding techniques, such as Principal Component Analysis, Factor Analysis, and manifold learning techniques, are typically used for learning effect…
An Efficient Approach for Anomaly Detection in Traffic Videos
Keval Doshi, Yasin Yilmaz
Due to its relevance in intelligent transportation systems, anomaly detection in traffic videos has recently received much interest. It remains a difficult problem due to a variety…
A Modular and Unified Framework for Detecting and Localizing Video Anomalies
Keval Doshi, Yasin Yilmaz
Anomaly detection in videos has been attracting an increasing amount of attention. Despite the competitive performance of recent methods on benchmark datasets, they typically lack…
Road Damage Detection using Deep Ensemble Learning
Keval Doshi, Yasin Yilmaz
Road damage detection is critical for the maintenance of a road, which traditionally has been performed using expensive high-performance sensors. With the recent advances in techno…
Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids
Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
Smart grid is a large complex network with a myriad of vulnerabilities, usually operated in adversarial settings and regulated based on estimated system states. In this study, we p…
Latent heterogeneous multilayer community detection
Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz +3
We propose a method for simultaneously detecting shared and unshared communities in heterogeneous multilayer weighted and undirected networks. The multilayer network is assumed to…
Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid
Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of critical importance. Moreover, considering smarter and more capable attackers, robust d…