Mahawaga Arachchige Pathum Chamikara

According to our database, Mahawaga Arachchige Pathum Chamikara authored at least 34 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Local Differential Privacy for Smart Meter Data Sharing.

Yashothara Shanmugarasa, Mahawaga Arachchige Pathum Chamikara, Hye-Young Paik, Salil S. Kanhere, Liming Zhu

CoRR, 2023

OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy.

M. A. P. Chamikara, Seung Ick Jang, Ian J. Oppermann, Dongxi Liu, Musotto Roberto, Sushmita Ruj, Arindam Pal, Meisam Mohammady, Seyit Camtepe, Sylvia Young, Chris Dorrian, Nasir David

CoRR, 2023

Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution.

Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning.

Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu

Proceedings of the ACM Web Conference 2023, 2023

Mitigating Privacy Leakage in Anomalous Building Data Streams.

Mahathir Almashor, Akbar Fadiansyah, Chehara Pathmabandu, Matt Amos, M. A. P. Chamikara

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Government Mobile Apps: Analysing Citizen Feedback via App Reviews.

Tooba Aamir, Mohan Baruwal Chhetri, M. A. P. Chamikara, Marthie Grobler

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

SoK: Systematizing Attack Studies in Federated Learning - From Sparseness to Completeness.

Geetanjli Sharma, M. A. P. Chamikara, Mohan Baruwal Chhetri, Yi-Ping Phoebe Chen

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks.

Mengyao Ma, Yanjun Zhang, Mahawaga Arachchige Pathum Chamikara, Leo Yu Zhang, Mohan Baruwal Chhetri, Guangdong Bai

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city.

Mohammad Saidur Rahman, M. A. P. Chamikara, Ibrahim Khalil, Abdelaziz Bouras

J. Ind. Inf. Integr., 2022

Privacy-preserving location data stream clustering on mobile edge computing and cloud.

Veronika Stephanie, M. A. P. Chamikara, Ibrahim Khalil, Mohammed Atiquzzaman

Inf. Syst., 2022

Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches.

Reena Zelenkova, Jack Swallow, M. A. P. Chamikara, Dongxi Liu, Mohan Baruwal Chhetri, Seyit Camtepe, Marthie Grobler, Mahathir Almashor

CoRR, 2022

Local Differential Privacy for Federated Learning in Industrial Settings.

M. A. P. Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertók, Ibrahim Khalil

CoRR, 2022

Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach.

Jongkil Jeong, Marthie Grobler, M. A. P. Chamikara

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Local Differential Privacy for Federated Learning.

Mahawaga Arachchige Pathum Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertók, Ibrahim Khalil

Proceedings of the Computer Security - ESORICS 2022, 2022

SplitFed: When Federated Learning Meets Split Learning.

Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The importance of social identity on password formulations.

Marthie Grobler, M. A. P. Chamikara, Jacob Abbott, Jongkil Jay Jeong, Surya Nepal, Cécile Paris

Pers. Ubiquitous Comput., 2021

PPaaS: Privacy Preservation as a Service.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe

Comput. Commun., 2021

Privacy preserving distributed machine learning with federated learning.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe

Comput. Commun., 2021

MedFused: A framework to discover the relationships between drug chemical functional group impacts and side effects.

M. A. P. Chamikara, Yi-Ping Phoebe Chen

Comput. Biol. Medicine, 2021

2020

A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe, Mohammed Atiquzzaman

IEEE Trans. Ind. Informatics, 2020

Efficient privacy preservation of big data for accurate data mining.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Ahmet Çamtepe, Ibrahim Khalil

Inf. Sci., 2020

Local Differential Privacy for Deep Learning.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe, Mohammed Atiquzzaman

IEEE Internet Things J., 2020

Advancements of federated learning towards privacy preservation: from federated learning to split learning.

Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Ahmet Çamtepe

CoRR, 2020

SplitFed: When Federated Learning Meets Split Learning.

Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe

CoRR, 2020

Privacy Preserving Face Recognition Utilizing Differential Privacy.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe

Comput. Secur., 2020

2019

Local Differential Privacy for Deep Learning.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe

CoRR, 2019

An efficient and scalable privacy preserving algorithm for big data and data streams.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Ahmet Çamtepe, Ibrahim Khalil

Comput. Secur., 2019

Fuzzy Logic Application to Link National Culture and Cybersecurity Maturity.

Jongkil Jay Jeong, Marthie Grobler, M. A. P. Chamikara, Carsten Rudolph

Proceedings of the 5th IEEE International Conference on Collaboration and Internet Computing, 2019

A Novel Architecture for Tamper Proof Electronic Health Record Management System using Blockchain Wrapper.

Mohammad Saidur Rahman, Ibrahim Khalil, Mahawaga Arachchige Pathum Chamikara, Abdelaziz Bouras, Xun Yi

Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2019

2018

Efficient data perturbation for privacy preserving and accurate data stream mining.

Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil

Pervasive Mob. Comput., 2018

2017

Towards implementing efficient autonomous vacuum cleaning systems.

W. H. C. Wickramaarachchi, M. A. P. Chamikara, R. A. C. H. Ratnayake

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

2016

Fuzzy based binary feature profiling for modus operandi analysis.

Mahawaga Arachchige Pathum Chamikara, Akalanka Galappaththi, Roshan Dharshana Yapa, Ruwan Dharshana Nawarathna, Saluka Ranasinghe Kodituwakku, Jagath Gunatilake, Aththanapola Arachchilage Chathranee Anumitha Jayathilake, Liwan H. Liyanage

PeerJ Comput. Sci., 2016

2015

A crime data analysis framework with geographical information support for intelligence led policing.

Mahawaga Arachchige Pathum Chamikara, Akalanka Galappaththi, Roshan D. Yapa, Ruwan D. Nawarathna, Saluka Ranasinghe Kodituwakku, Jagath Gunatilake, Liwan H. Liyanage

PeerJ Prepr., 2015

2014

A Fuzzy Based Model to Identify Printed Sinhala Characters (ICIAfS14).

G. I. Gunarathna, Mahawaga Arachchige Pathum Chamikara, Roshan G. Ragel

CoRR, 2014