M.A.P.Chamikara

About M.A.P.Chamikara

M.A.P.Chamikara, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Peradeniya, specializes in the field of Cyber Security, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Local Differential Privacy for Smart Meter Data Sharing

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning

Government Mobile Apps: Analysing Citizen Feedback via App Reviews

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

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

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

Mitigating Privacy Leakage in Anomalous Building Data Streams

M.A.P.Chamikara Information

University

Position

Lecturer in Computer Science

Citations(all)

1536

Citations(since 2020)

1475

Cited By

278

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

M.A.P.Chamikara Skills & Research Interests

Cyber Security

Data Science

Top articles of M.A.P.Chamikara

Title

Journal

Author(s)

Publication Date

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

Haonan Zhong

Jiamin Chang

Ziyue Yang

Tingmin Wu

M.A.P. Chamikara

...

2023/4/30

Local Differential Privacy for Smart Meter Data Sharing

arXiv preprint arXiv:2311.04544

Yashothara Shanmugarasa

MAP Chamikara

Hye-young Paik

Salil S Kanhere

Liming Zhu

2023/11/8

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning

Yanjun Zhang

Guangdong Bai

Mahawaga Arachchige Pathum Chamikara

Mengyao Ma

Liyue Shen

...

2023/4/30

Government Mobile Apps: Analysing Citizen Feedback via App Reviews

Tooba Aamir

Mohan Baruwal Chhetri

MAP Chamikara

Marthie Grobler

2023/9/1

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

Mengyao Ma

Yanjun Zhang

Pathum Chamikara Mahawaga Arachchige

Leo Yu Zhang

Mohan Baruwal Chhetri

...

2023/7/10

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

Geetanjli Sharma

MAP Chamikara

Mohan Baruwal Chhetri

Yi-Ping Phoebe Chen

2023/7/10

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

arXiv preprint arXiv:2306.03379

MAP Chamikara

Seung Ick Jang

Ian Oppermann

Dongxi Liu

Musotto Roberto

...

2023/6/6

Mitigating Privacy Leakage in Anomalous Building Data Streams

Mahathir Almashor

Akbar Fadiansyah

Chehara Pathmabandu

Matt Amos

MAP Chamikara

2023/11/15

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

Journal of Industrial Information Integration

Mohammad Saidur Rahman

MAP Chamikara

Ibrahim Khalil

Abdelaziz Bouras

2022/11/1

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

Jongkil Jay Jeong

Marthie Grobler

MAP Chamikara

2022/1

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

Information Systems

Veronika Stephanie

MAP Chamikara

Ibrahim Khalil

Mohammed Atiquzzaman

2022

Local Differential Privacy for Federated Learning

M.A.P. Chamikara

Dongxi Liu

Seyit Camtepe

Surya Nepal

Marthie Grobler

...

2022/10

Splitfed: When federated learning meets split learning

Association for the Advancement of Artificial Intelligence (AAAI)

Chandra Thapa

Mahawaga Arachchige Pathum Chamikara

Seyit Camtepe

Lichao Sun

2022/2/22

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

arXiv preprint arXiv:2202.10320

Reena Zelenkova

Jack Swallow

MAP Chamikara

Dongxi Liu

Mohan Baruwal Chhetri

...

2022/2

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

Federated Learning Systems: Towards Next-Generation AI

Chandra Thapa

Mahawaga Arachchige Pathum Chamikara

Seyit A Camtepe

2021

PPaaS: Privacy Preservation as a Service

Computer Communications

M.A.P. Chamikara

Peter Bertok

Ibrahim Khalil

Dongxi Liu

Seyit Camtepe

2021

The importance of social identity on password formulations

Personal and Ubiquitous Computing

Marthie Grobler

MAP Chamikara

Jacob Abbott

Jongkil Jay Jeong

Surya Nepal

...

2021/10

Privacy preserving distributed machine learning with federated learning

Computer Communications

Mahawaga Arachchige Pathum Chamikara

Peter Bertok

Ibrahim Khalil

Dongxi Liu

Seyit Camtepe

2021/2/12

Scalable data perturbation for privacy preserving large scale data analytics and machine learning

M.A.P. Chamikara

2020/8

Efficient privacy preservation of big data for accurate data mining

Information Sciences

Mahawaga Arachchige Pathum Chamikara

Peter Bertok

Dongxi Liu

Seyit Camtepe

Ibrahim Khalil

2020/7/1

See List of Professors in M.A.P.Chamikara University(University of Peradeniya)

Co-Authors

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