E-LIB Suche - Ergebnisse für: Randhawa, Rizwan Hamid

1

Deep reinforcement learning based Evasion Generative Advers..:

Randhawa, Rizwan Hamid ; Aslam, Nauman ; Alauthman, Mohammad..
Future Generation Computer Systems. 150 (2024) - p. 294-302 , 2024

Link: https://doi.org/10.1016/..

2

Evasion Generative Adversarial Network for Low Data Regimes:

Randhawa, Rizwan Hamid ; Aslam, Nauman ; Alauthman, Mohammad.
IEEE Transactions on Artificial Intelligence. 4 (2023) 5 - p. 1076-1088 , 2023

Link: https://doi.org/10.1109/..

3

An Investigation on Fragility of Machine Learning Classifie..:

, In: IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS),

Rafiq, Husnain ; Aslam, Nauman ; Issac, Biju. - p. 1-6 , 2022

Link: https://doi.org/10.1109/..

4

On Impact of Adversarial Evasion Attacks on ML-based Androi..:

, In: 2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA),

Rafiq, Husnain ; Aslam, Nauman ; Issac, Biju. - p. 216-221 , 2022

Link: https://doi.org/10.1109/..

5

AndroMalPack: enhancing the ML-based malware classification..:

Rafiq, Husnain ; Aslam, Nauman ; Aleem, Muhammad..
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

6

Security Hardening of Botnet Detectors Using Generative Adv..:

Randhawa, Rizwan Hamid ; Aslam, Nauman ; Alauthman, Mohammad..
IEEE Access. 9 (2021) - p. 78276-78292 , 2021

Link: https://doi.org/10.1109/..

7

Energy efficient cross-layer approach for object security o..:

Randhawa, Rizwan Hamid ; Hameed, Abdul ; Mian, Adnan Noor
Ad Hoc Networks. 92 (2019) - p. 101761 , 2019

Link: https://doi.org/10.1016/..

8

Deep reinforcement learning based Evasion Generative Advers..:

Randhawa, Rizwan Hamid ; Aslam, Nauman ; Alauthman, Mohammad..
https://hull-repository.worktribe.com/output/4430435. , 2023

Link: https://hull-repository...

9

AndroMalPack: Enhancing the ML-based Malware Classification..:

Rafiq, Husnain ; Aslam, Nauman ; Aleem, Muhammad..
https://nrl.northumbria.ac.uk/id/eprint/50541/8/s41598-022-23766-w.pdf. , 2022

Link: https://nrl.northumbria...

10

AndroMalPack: enhancing the ML-based malware classification..:

Rafiq, Husnain ; Aslam, Nauman ; Aleem, Muhammad..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663591/. , 2022

Link: http://www.ncbi.nlm.nih...

11

Deep Reinforcement Learning based Evasion Generative Advers..:

Randhawa, Rizwan Hamid ; Aslam, Nauman ; Alauthman, Mohammad..
http://arxiv.org/abs/2210.02840. , 2022

Link: http://arxiv.org/abs/221..

12

Security Hardening of Botnet Detectors Using Generative Adv..:

Randhawa, Rizwan Hamid ; Aslam, Nauman ; Alauthman, Mohammad..
https://nrl.northumbria.ac.uk/id/eprint/46480/1/09439890.pdf. , 2021

Link: https://nrl.northumbria...

13

EVAGAN: Evasion Generative Adversarial Network for Low Data..:

Randhawa, Rizwan Hamid ; Aslam, Nauman ; Alauthman, Mohammad.
http://arxiv.org/abs/2109.08026. , 2021

Link: http://arxiv.org/abs/210..

14

AndroMalPack: enhancing the ML-based malware classification..:

Husnain Rafiq ; Nauman Aslam ; Muhammad Aleem..
https://doi.org/10.1038/s41598-022-23766-w. , 2022

Link: https://doi.org/10.1038/..

15

Security Hardening of Botnet Detectors Using Generative Adv..:

Rizwan Hamid Randhawa ; Nauman Aslam ; Mohammad Alauthman..
https://ieeexplore.ieee.org/document/9439890/. , 2021

Link: https://doi.org/10.1109/..