Obserwuj
Muhammad Asim
Muhammad Asim
Information Technology University Lahore, Pakistan
Zweryfikowany adres z itu.edu.pk
Tytuł
Cytowane przez
Cytowane przez
Rok
Generative adversarial networks for launching and thwarting adversarial attacks on network intrusion detection systems
M Usama, M Asim, S Latif, J Qadir
2019 15th international wireless communications & mobile computing …, 2019
1462019
Invertible generative models for inverse problems: mitigating representation error and dataset bias
M Asim, A Ahmed, P Hand
ICML 2020, 2020
1442020
Blind Image Deconvolution using Deep Generative Priors
M Asim, F Shamshad, A Ahmed
IEEE Transactions on Computational Imaging, 2020
118*2020
Retrospective motion correction in multishot MRI using generative adversarial network
M Usman, S Latif, M Asim, BD Lee, J Qadir
Scientific Reports 10 (1), 4786, 2020
702020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
S Latif, M Asim, R Rana, S Khalifa, R Jurdak, BW Schuller
Interspeech 2020, 2020
372020
Automating motion correction in multishot MRI using generative adversarial networks
S Latif, M Asim, M Usman, J Qadir, R Rana
Biomedical Imaging meet NeurIPS Workshop, NeurIPS 2018, 2018
282018
Adversarial machine learning attack on modulation classification
M Usama, M Asim, J Qadir, A Al-Fuqaha, MA Imran
2019 UK/China Emerging Technologies (UCET), 1-4, 2019
212019
Intrusion detection in wireless sensor network using enhanced empirical based component analysis
L Zhiqiang, G Mohiuddin, Z Jiangbin, M Asim, W Sifei
Future Generation Computer Systems 135, 181-193, 2022
182022
Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and future directions
M Asim, F Shamshad, M Awais, A Ahmed
Proceedings of the Ninth International Conference on Information and …, 2017
52017
Blind Image Deconvolution using Pretrained Generative Priors
M Asim, F Shamshad, A Ahmed
BMVC 2019, 2019
42019
PatchDIP Exploiting Patch Redundancy in Deep Image Prior for Denoising
M Asim, F Shamshad, A Ahmed
NeurIPS 2019 Workshop Deep Inverse, 2019
32019
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising
F Shamshad, M Awais, M Asim, M Umair, A Ahmed
Machine Learning for Health Workshop, NeurIPS 2018, 2018
32018
A Novel Learning-Based Attack Detection System for Enhancing Security in Cyber-Physical Environments
L Zhijun, M Asim
Computer Science 1 (1), 2022
22022
Intrusion detection using hybrid enhanced CSA-PSO and multivariate WLS random-forest technique
G Mohi-Ud-Din, L Zhiqiang, Z Jiangbin, W Sifei, L Zhijun, M Asim, ...
IEEE Transactions on Network and Service Management 20 (4), 4937-4950, 2023
12023
NIDS: Random Forest Based Novel Network Intrusion Detection System for Enhanced Cybersecurity in VANET's
G Mohi-Ud-Din, J Zheng, Z Liu, M Asim, J Chen, J Liu, Z Lin
2022 International Conference on Virtual Reality, Human-Computer Interaction …, 2022
12022
Chelloug; SA; Abdelrahiem, B.; Salabat, K.; Musyafa
K Siraj, M Asim
A. A Novel Cluster Matching-Based Improved Kernel Fisher Criterion for Image …, 2023
2023
A Novel Learning-Based Attack Detection System for Enhancing Security in Cyber-Physical Environments
L Zhiqiang, Z Jiangbin, W Sifei, Z Xinyu, L Zizheng, L Zhijun, M Asim
Computer Science and Technology 1 (1), 16, 2022
2022
Ilam-e-Kalam Mein Muhammad Zahid ul Kousari Ki Arah (Tehqiqi-o-Tanqidi Jaiza)
MS Asim
Government College University, Faisalabad, 2019
2019
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–18