Urvashi Garg

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 — conf
The Role of Feature Based Classification Models in Early Detection of Brain Stroke.
ICCCNT
Monika, Urvashi Garg, Kanika
2024 J jnl
Unveiling vulnerabilities: evading YOLOv5 object detection through adversarial perturbations and steganography.
Multim. Tools Appl.
Gauri Sharma, Urvashi Garg
2023 J jnl
An adaptive randomized and secured approach against adversarial attacks.
Inf. Secur. J. A Glob. Perspect.
Lovi Dhamija, Urvashi Garg
2023 J jnl
Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review.
Artif. Intell. Rev.
Jasleen Kaur, Urvashi Garg, Gourav Bathla
2022 J jnl
An enhancement to the existing cyclostationary feature detection in CRN.
Multim. Tools Appl.
Kriti Mahajan, Urvashi Garg
2022 J jnl
Moving Target Depth Information Extraction Based on Nonlinear Strategy Network.
J. Interconnect. Networks
Wei Liu, Mohammad Shabaz, Urvashi Garg
2021 J jnl
An ensemble approach for optimization of penetration layout in wide area networks.
Comput. Commun.
Urvashi Garg, Geeta Sikka, Lalit Kumar Awasthi
2021 J jnl
CPIDM: A Clustering-Based Profound Iterating Deep Learning Model for HSI Segmentation.
Wirel. Commun. Mob. Comput.
Kriti Mahajan, Urvashi Garg, Mohammad Shabaz
2021 J jnl
Empirical risk assessment of attack graphs using time to compromise framework.
Int. J. Inf. Comput. Secur.
Urvashi Garg, Geeta Sikka, Lalit Kumar Awasthi
2021 J jnl
Modified silhouette based segmentation outperforming in the presence of intensity inhomogeneity in the hyperspectral images.
Int. J. Intell. Eng. Informatics
Kriti Mahajan, Urvashi Garg
2018 J jnl
Empirical analysis of attack graphs for mitigating critical paths and vulnerabilities.
Comput. Secur.
Urvashi Garg, Geeta Sikka, Lalit Kumar Awasthi