Mahawaga Arachchige Pathum Chamikara

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 26

Top Topics

Differentially Private

Privacy Preserving

Top Venues

Comput. Commun.

Publications

Mengyao Ma, Yanjun Zhang, Mahawaga Arachchige Pathum Chamikara, Leo Yu Zhang, Mohan Baruwal Chhetri, Guangdong Bai
LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks. AsiaCCS (2023)
Yashothara Shanmugarasa, Mahawaga Arachchige Pathum Chamikara, Hye-Young Paik, Salil S. Kanhere, Liming Zhu
Local Differential Privacy for Smart Meter Data Sharing. CoRR (2023)
Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu
AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. WWW (2023)
Mahawaga Arachchige Pathum Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertók, Ibrahim Khalil
Local Differential Privacy for Federated Learning. ESORICS (1) (2022)
Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun
SplitFed: When Federated Learning Meets Split Learning. AAAI (2022)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe
PPaaS: Privacy Preservation as a Service. Comput. Commun. 173 (2021)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe
Privacy preserving distributed machine learning with federated learning. Comput. Commun. 171 (2021)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe
PPaaS: Privacy Preservation as a Service. CoRR (2020)
Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe
SplitFed: When Federated Learning Meets Split Learning. CoRR (2020)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe, Mohammed Atiquzzaman
Local Differential Privacy for Deep Learning. IEEE Internet Things J. 7 (7) (2020)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe
Privacy Preserving Face Recognition Utilizing Differential Privacy. Comput. Secur. 97 (2020)
Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Ahmet Çamtepe
Advancements of federated learning towards privacy preservation: from federated learning to split learning. CoRR (2020)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe
Privacy Preserving Distributed Machine Learning with Federated Learning. CoRR (2020)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Ahmet Çamtepe, Ibrahim Khalil
Efficient privacy preservation of big data for accurate data mining. Inf. Sci. 527 (2020)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe, Mohammed Atiquzzaman
A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems. IEEE Trans. Ind. Informatics 16 (9) (2020)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe
Privacy Preserving Face Recognition Utilizing Differential Privacy. CoRR (2020)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil
Efficient privacy preservation of big data for accurate data mining. CoRR (2019)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Ahmet Çamtepe, Ibrahim Khalil
An efficient and scalable privacy preserving algorithm for big data and data streams. Comput. Secur. 87 (2019)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe
Local Differential Privacy for Deep Learning. CoRR (2019)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil
An Efficient and Scalable Privacy Preserving Algorithm for Big Data and Data Streams. CoRR (2019)
Mohammad Saidur Rahman, Ibrahim Khalil, Mahawaga Arachchige Pathum Chamikara, Abdelaziz Bouras, Xun Yi
A Novel Architecture for Tamper Proof Electronic Health Record Management System using Blockchain Wrapper. BSCI (2019)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil
Efficient data perturbation for privacy preserving and accurate data stream mining. Pervasive Mob. Comput. 48 (2018)
Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil
Efficient Data Perturbation for Privacy Preserving and Accurate Data Stream Mining. CoRR (2018)
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
Fuzzy based binary feature profiling for modus operandi analysis. PeerJ Comput. Sci. 2 (2016)
Mahawaga Arachchige Pathum Chamikara, Akalanka Galappaththi, Roshan D. Yapa, Ruwan D. Nawarathna, Saluka Ranasinghe Kodituwakku, Jagath Gunatilake, Aththanapola Arachchilage Chathranee Anumitha Jayathilake, Liwan H. Liyanage
Fuzzy based binary feature profiling for modus operandi analysis. PeerJ Prepr. 3 (2015)
Mahawaga Arachchige Pathum Chamikara, Akalanka Galappaththi, Roshan D. Yapa, Ruwan D. Nawarathna, Saluka Ranasinghe Kodituwakku, Jagath Gunatilake, Liwan H. Liyanage
A crime data analysis framework with geographical information support for intelligence led policing. PeerJ Prepr. 3 (2015)
G. I. Gunarathna, Mahawaga Arachchige Pathum Chamikara, Roshan G. Ragel
A Fuzzy Based Model to Identify Printed Sinhala Characters (ICIAfS14). CoRR (2014)