Hao Fu

IEEE Access, 2026

2025

Combining switching mechanism with re-initialization and anomaly detection for resiliency of cyber-physical systems.

[BibT_eX]

[DOI]

Autom., 2025

Detecting All-to-One Backdoor Attacks in Black-Box DNNs via Differential Robustness to Noise.

[BibT_eX]

[DOI]

IEEE Access, 2025

CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring.

[BibT_eX]

[DOI]

Naman Patel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Privacy-Preserving Collaborative Learning Through Feature Extraction.

[BibT_eX]

[DOI]

Alireza Sarmadi

IEEE Trans. Dependable Secur. Comput., 2024

2023

Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

A Deep Neural Network Algorithm for Linear-Quadratic Portfolio Optimization With MGARCH and Small Transaction Costs.

[BibT_eX]

[DOI]

Andrew Papanicolaou

IEEE Access, 2023

2022

An Upper Bound for the Distribution Overlap Index and Its Applications.

[BibT_eX]

[DOI]

CoRR, 2022

A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation.

[BibT_eX]

[DOI]

Akshaj Kumar Veldanda

IEEE Access, 2022

2020

Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection.

[BibT_eX]

[DOI]

Akshaj Kumar Veldanda

CoRR, 2020

Functional Replicas of Proprietary Three-Axis Attitude Sensors via LSTM Neural Networks.

[BibT_eX]

[DOI]