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ORCIDMahawaga Arachchige Pathum Chamikara
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- affiliation: University of Peradeniya, Sri Lanka
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Journal Articles
- 2022
[j13]Veronika Stephanie, M. A. P. Chamikara
, Ibrahim Khalil, Mohammed Atiquzzaman:
Privacy-preserving location data stream clustering on mobile edge computing and cloud. Inf. Syst. 107: 101728 (2022)- [j12]Mohammad Saidur Rahman, M. A. P. Chamikara, Ibrahim Khalil, Abdelaziz Bouras:
Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city. J. Ind. Inf. Integr. 30: 100408 (2022) - 2021
- [j11]M. A. P. Chamikara, Yi-Ping Phoebe Chen:
MedFused: A framework to discover the relationships between drug chemical functional group impacts and side effects. Comput. Biol. Medicine 133: 104361 (2021) - [j10]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Privacy preserving distributed machine learning with federated learning. Comput. Commun. 171: 112-125 (2021) - [j9]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
PPaaS: Privacy Preservation as a Service. Comput. Commun. 173: 192-205 (2021) - [j8]Marthie Grobler, M. A. P. Chamikara, Jacob Abbott, Jongkil Jay Jeong, Surya Nepal, Cécile Paris:
The importance of social identity on password formulations. Pers. Ubiquitous Comput. 25(5): 813-827 (2021) - 2020
- [j7]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Privacy Preserving Face Recognition Utilizing Differential Privacy. Comput. Secur. 97: 101951 (2020) - [j6]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): 5827-5842 (2020) - [j5]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: 420-443 (2020) - [j4]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): 6092-6102 (2020) - 2019
- [j3]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) - 2018
- [j2]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: 1-19 (2018) - 2016
- [j1]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: e65 (2016)
Conference and Workshop Papers
- 2023
- [c12]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: 122-135 - [c11]Geetanjli Sharma, M. A. P. Chamikara, Mohan Baruwal Chhetri, Yi-Ping Phoebe Chen:
SoK: Systematizing Attack Studies in Federated Learning - From Sparseness to Completeness. AsiaCCS 2023: 579-592 - [c10]Tooba Aamir, Mohan Baruwal Chhetri, M. A. P. Chamikara, Marthie Grobler:
Government Mobile Apps: Analysing Citizen Feedback via App Reviews. ASE 2023: 1858-1863 - [c9]Mahathir Almashor, Akbar Fadiansyah, Chehara Pathmabandu, Matt Amos, M. A. P. Chamikara:
Mitigating Privacy Leakage in Anomalous Building Data Streams. BuildSys@SenSys 2023: 333-339 - [c8]Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue:
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. WWW (Companion Volume) 2023: 94-98 - [c7]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: 2371-2382 - 2022
- [c6]Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun:
SplitFed: When Federated Learning Meets Split Learning. AAAI 2022: 8485-8493 - [c5]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: 195-216 - [c4]Jongkil Jeong, Marthie Grobler, M. A. P. Chamikara:
Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach. HICSS 2022: 1-10 - 2019
- [c3]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: 97-105 - [c2]Jongkil Jay Jeong, Marthie Grobler, M. A. P. Chamikara, Carsten Rudolph:
Fuzzy Logic Application to Link National Culture and Cybersecurity Maturity. CIC 2019: 330-337 - 2017
- [c1]W. H. C. Wickramaarachchi, M. A. P. Chamikara, R. A. C. H. Ratnayake:
Towards implementing efficient autonomous vacuum cleaning systems. ICIIS 2017: 1-6
Informal and Other Publications
- 2023
- [i17]Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue:
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. CoRR abs/2303.09272 (2023) - [i16]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:
OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy. CoRR abs/2306.03379 (2023) - [i15]Yashothara Shanmugarasa, Mahawaga Arachchige Pathum Chamikara, Hye-Young Paik, Salil S. Kanhere, Liming Zhu:
Local Differential Privacy for Smart Meter Data Sharing. CoRR abs/2311.04544 (2023) - 2022
- [i14]M. A. P. Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertók, Ibrahim Khalil:
Local Differential Privacy for Federated Learning in Industrial Settings. CoRR abs/2202.06053 (2022) - [i13]Reena Zelenkova, Jack Swallow, M. A. P. Chamikara, Dongxi Liu, Mohan Baruwal Chhetri, Seyit Camtepe, Marthie Grobler, Mahathir Almashor:
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches. CoRR abs/2202.10320 (2022) - 2020
- [i12]Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe:
SplitFed: When Federated Learning Meets Split Learning. CoRR abs/2004.12088 (2020) - [i11]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Privacy Preserving Distributed Machine Learning with Federated Learning. CoRR abs/2004.12108 (2020) - [i10]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Privacy Preserving Face Recognition Utilizing Differential Privacy. CoRR abs/2005.10486 (2020) - [i9]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
PPaaS: Privacy Preservation as a Service. CoRR abs/2007.02013 (2020) - [i8]Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Ahmet Çamtepe:
Advancements of federated learning towards privacy preservation: from federated learning to split learning. CoRR abs/2011.14818 (2020) - 2019
- [i7]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil:
Efficient privacy preservation of big data for accurate data mining. CoRR abs/1906.08149 (2019) - [i6]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 abs/1907.13498 (2019) - [i5]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Local Differential Privacy for Deep Learning. CoRR abs/1908.02997 (2019) - 2018
- [i4]Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil:
Efficient Data Perturbation for Privacy Preserving and Accurate Data Stream Mining. CoRR abs/1806.06151 (2018) - 2015
- [i3]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: e1529 (2015) - [i2]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: e1532 (2015) - 2014
- [i1]G. I. Gunarathna, Mahawaga Arachchige Pathum Chamikara, Roshan G. Ragel:
A Fuzzy Based Model to Identify Printed Sinhala Characters (ICIAfS14). CoRR abs/1412.7680 (2014)
Coauthor Index
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