Urvashi Garg

According to our database, Urvashi Garg authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unveiling vulnerabilities: evading YOLOv5 object detection through adversarial perturbations and steganography.

Gauri Sharma, Urvashi Garg

Multim. Tools Appl., September, 2024

2023

An adaptive randomized and secured approach against adversarial attacks.

Lovi Dhamija, Urvashi Garg

Inf. Secur. J. A Glob. Perspect., November, 2023

Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review.

Jasleen Kaur, Urvashi Garg, Gourav Bathla

Artif. Intell. Rev., November, 2023

2022

An enhancement to the existing cyclostationary feature detection in CRN.

Kriti Mahajan, Urvashi Garg

Multim. Tools Appl., 2022

Moving Target Depth Information Extraction Based on Nonlinear Strategy Network.

Wei Liu, Mohammad Shabaz, Urvashi Garg

J. Interconnect. Networks, 2022

2021

CPIDM: A Clustering-Based Profound Iterating Deep Learning Model for HSI Segmentation.

Kriti Mahajan, Urvashi Garg, Mohammad Shabaz

Wirel. Commun. Mob. Comput., 2021

Modified silhouette based segmentation outperforming in the presence of intensity inhomogeneity in the hyperspectral images.

Kriti Mahajan, Urvashi Garg

Int. J. Intell. Eng. Informatics, 2021

Empirical risk assessment of attack graphs using time to compromise framework.

Urvashi Garg, Geeta Sikka, Lalit Kumar Awasthi

Int. J. Inf. Comput. Secur., 2021

An ensemble approach for optimization of penetration layout in wide area networks.

Urvashi Garg, Geeta Sikka, Lalit Kumar Awasthi

Comput. Commun., 2021

2018

Empirical analysis of attack graphs for mitigating critical paths and vulnerabilities.

Urvashi Garg, Geeta Sikka, Lalit Kumar Awasthi

Comput. Secur., 2018