A Fuzzy Based Model to Identify Printed Sinhala Characters (ICIAfS14). - G. I. Gunarathna; Mahawaga Arachchige Pathum Chamikara; Roshan G. Ragel (CoRR, 2014)

Fuzzy based binary feature profiling for modus operandi analysis. - 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 (PeerJ Prepr., 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)

Towards implementing efficient autonomous vacuum cleaning systems. - W. H. C. Wickramaarachchi; M. A. P. Chamikara; R. A. C. H. Ratnayake (ICIIS, 2017)

Efficient data perturbation for privacy preserving and accurate data stream mining. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Dongxi Liu; Seyit Camtepe; Ibrahim Khalil 001 (Pervasive Mob. Comput., 2018)

A Novel Architecture for Tamper Proof Electronic Health Record Management System using Blockchain Wrapper. - Mohammad Saidur Rahman 001; Ibrahim Khalil 001; Mahawaga Arachchige Pathum Chamikara; Abdelaziz Bouras; Xun Yi (BSCI, 2019)

Fuzzy Logic Application to Link National Culture and Cybersecurity Maturity. - Jongkil Jay Jeong; Marthie Grobler; M. A. P. Chamikara; Carsten Rudolph (CIC, 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 001 (Comput. Secur., 2019)

Local Differential Privacy for Deep Learning. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Ibrahim Khalil 001; Dongxi Liu; Seyit Camtepe (CoRR, 2019)

Privacy Preserving Face Recognition Utilizing Differential Privacy. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Ibrahim Khalil 001; Dongxi Liu; Seyit Camtepe (Comput. Secur., 2020)

SplitFed: When Federated Learning Meets Split Learning. - Chandra Thapa; Mahawaga Arachchige Pathum Chamikara; Seyit Camtepe (CoRR, 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)

Local Differential Privacy for Deep Learning. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Ibrahim Khalil 001; Dongxi Liu; Seyit Camtepe; Mohammed Atiquzzaman (IEEE Internet Things J., 2020)

Efficient privacy preservation of big data for accurate data mining. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Dongxi Liu; Seyit Ahmet Çamtepe; Ibrahim Khalil 001 (Inf. Sci., 2020)

A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Ibrahim Khalil 001; Dongxi Liu; Seyit Camtepe; Mohammed Atiquzzaman (IEEE Trans. Ind. Informatics, 2020)

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)

Privacy preserving distributed machine learning with federated learning. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Ibrahim Khalil 001; Dongxi Liu; Seyit Camtepe (Comput. Commun., 2021)

PPaaS: Privacy Preservation as a Service. - Mahawaga Arachchige Pathum Chamikara; Peter Bertók; Ibrahim Khalil 001; Dongxi Liu; Seyit Camtepe (Comput. Commun., 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)

SplitFed: When Federated Learning Meets Split Learning. - Chandra Thapa; Mahawaga Arachchige Pathum Chamikara; Seyit Camtepe; Lichao Sun 001 (AAAI, 2022)

Local Differential Privacy for Federated Learning. - Mahawaga Arachchige Pathum Chamikara; Dongxi Liu; Seyit Camtepe; Surya Nepal; Marthie Grobler; Peter Bertók; Ibrahim Khalil 001 (ESORICS (1), 2022)

Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach. - Jongkil Jeong; Marthie Grobler; M. A. P. Chamikara (HICSS, 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 001 (CoRR, 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)

Privacy-preserving location data stream clustering on mobile edge computing and cloud. - Veronika Stephanie; M. A. P. Chamikara; Ibrahim Khalil 001; Mohammed Atiquzzaman (Inf. Syst., 2022)

Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city. - Mohammad Saidur Rahman 001; M. A. P. Chamikara; Ibrahim Khalil 001; Abdelaziz Bouras (J. Ind. Inf. Integr., 2022)

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 (AsiaCCS, 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 (AsiaCCS, 2023)

Government Mobile Apps: Analysing Citizen Feedback via App Reviews. - Tooba Aamir; Mohan Baruwal Chhetri; M. A. P. Chamikara; Marthie Grobler (ASE, 2023)

Mitigating Privacy Leakage in Anomalous Building Data Streams. - Mahathir Almashor; Akbar Fadiansyah; Chehara Pathmabandu; Matt Amos; M. A. P. Chamikara (BuildSys, 2023)

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. - Yanjun Zhang; Guangdong Bai; Mahawaga Arachchige Pathum Chamikara; Mengyao Ma; Liyue Shen; Jingwei Wang 003; Surya Nepal; Minhui Xue 001; Long Wang; Joseph K. Liu (WWW, 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 001 (WWW (Companion Volume), 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 001; Meisam Mohammady; Seyit Camtepe; Sylvia Young; Chris Dorrian; Nasir David (CoRR, 2023)

Local Differential Privacy for Smart Meter Data Sharing. - Yashothara Shanmugarasa; Mahawaga Arachchige Pathum Chamikara; Hye-Young Paik; Salil S. Kanhere; Liming Zhu 001 (CoRR, 2023)

Unveiling Intellectual Property Vulnerabilities of GAN-Based Distributed Machine Learning through Model Extraction Attacks. - Mengyao Ma; Shuofeng Liu; M. A. P. Chamikara; Mohan Baruwal Chhetri; Guangdong Bai (CIKM, 2024)

Local Differential Privacy for Smart Meter Data Sharing with Energy Disaggregation. - Yashothara Shanmugarasa; M. A. P. Chamikara; Hye-young Paik; Salil S. Kanhere; Liming Zhu 001 (DCOSS-IoT, 2024)

An Adversarial Machine Learning Based Approach for Privacy Preserving Face Recognition in Distributed Smart City Surveillance. - Farah Wahida; M. A. P. Chamikara; Ibrahim Khalil 001; Mohammed Atiquzzaman (Comput. Networks, 2024)

LLMs Are Not Yet Ready for Deepfake Image Detection. - Shahroz Tariq; David Nguyen; M. A. P. Chamikara; Tingmin Wu; Alsharif Abuadbba; Kristen Moore (CoRR, 2025)

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation. - Yashothara Shanmugarasa; Ming Ding 001; M. A. P. Chamikara; Thierry Rakotoarivelo (CoRR, 2025)