RAPID: Real-time Anomaly-based Preventive Intrusion Detection. - Keval Doshi; Mahsa Mozaffari; Yasin Yilmaz (WiseML@WiSec, 2019)

Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks. - Keval Doshi (CoRR, 2019)

Road Damage Detection using Deep Ensemble Learning. - Keval Doshi; Yasin Yilmaz (IEEE BigData, 2020)

Continual Learning for Anomaly Detection in Surveillance Videos. - Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2020)

Fast Unsupervised Anomaly Detection in Traffic Videos. - Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2020)

Any-Shot Sequential Anomaly Detection in Surveillance Videos. - Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2020)

Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate. - Keval Doshi; Yasin Yilmaz (CoRR, 2020)

An Efficient Approach for Anomaly Detection in Traffic Videos. - Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2021)

Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate. - Keval Doshi; Yasin Yilmaz (Pattern Recognit., 2021)

Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks. - Keval Doshi; Yasin Yilmaz; Suleyman Uludag (IEEE Trans. Dependable Secur. Comput., 2021)

Federated Learning-based Driver Activity Recognition for Edge Devices. - Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2022)

Multi-Task Learning for Video Surveillance with Limited Data. - Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2022)

Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. - Furkan Mumcu; Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2022)

Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. - Keval Doshi; Shatha Abudalou; Yasin Yilmaz (IJCNN, 2022)

A Modular and Unified Framework for Detecting and Localizing Video Anomalies. - Keval Doshi; Yasin Yilmaz (WACV, 2022)

Rethinking Video Anomaly Detection - A Continual Learning Approach. - Keval Doshi; Yasin Yilmaz (WACV, 2022)

TiSAT: Time Series Anomaly Transformer. - Keval Doshi; Shatha Abudalou; Yasin Yilmaz (CoRR, 2022)

Real-Time Detection and Classification of Power Quality Disturbances. - Mahsa Mozaffari; Keval Doshi; Yasin Yilmaz (Sensors, 2022)

Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings. - Mahsa Mozaffari; Keval Doshi; Yasin Yilmaz (Sensors, 2022)

Video Anomaly Detection: Practical Challenges for Learning Algorithms. - Keval Doshi (2022)

Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. - Keval Doshi; Yasin Yilmaz (CVPR Workshops, 2023)

Dynamic Inference with Grounding Based Vision and Language Models. - Burak Uzkent; Amanmeet Garg; Wentao Zhu; Keval Doshi; Jingru Yi; Xiaolong Wang; Mohamed Omar (CVPR, 2023)

Privacy-Preserving Video Understanding via Transformer-based Federated Learning. - Keval Doshi; Yasin Yilmaz (DSC, 2023)

Semantic Video Transformer for Robust Action Recognition. - Keval Doshi; Yasin Yilmaz (DSC, 2023)

Towards Interpretable Video Anomaly Detection. - Keval Doshi; Yasin Yilmaz (WACV, 2023)

A Multimodal Benchmark and Improved Architecture for Zero Shot Learning. - Keval Doshi; Amanmeet Garg; Burak Uzkent; Xiaolong Wang; Mohamed Omar (WACV, 2024)

Real-Time Weakly Supervised Video Anomaly Detection. - Hamza Karim; Keval Doshi; Yasin Yilmaz (WACV, 2024)