Note: Below are the author's versions of the works. They are posted here for your personal use. Not for redistribution. The definitive versions were published in the referenced conferences / journals.

[ACCESS'22]
Self-Supervised Vision Transformers for Malware Detection
Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka, Nuran Kasthuriarachchi
(One-line Abstract) deep learning model to detect malware based on the Vision Transformer (ViT) architecture
IEEE Access
Note: Our artifact including the models is open sourced at Github
  
[ICSE'22]
Trust Enhancement Issues in Program Repair
Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury
(One-line Abstract) A systematic evaluation if state of the art APR can meet developer expectations
IEEE/ACM 44th International Conference on Software Engineering (ICSE) 2022
Note: Our artifact @ 10.5281/zenodo.5908381, was evaluated as Available , Functional and Reusable .
  
[AJCAI'22]
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images
Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Danula Hettiachchi, Ridwan Shariffdeen
(One-line Abstract) evaluate the privacy-invasiveness of masked-faces in artificial intelligence systems
34th Australasian Joint Conference on Artificial Intelligence 2022
  
[OOPSLA'21]
APIfix: Output-Oriented Program Synthesis for Combating Breaking Changes in Libraries
Xiang Gao, Arjun Radhakrishna, Gustavo Soares, Ridwan Shariffdeen, Sumit Gulwani, Abhik Roychoudhury
(One-line Abstract) Program synthesis for repairing broken API invocations
ACM SIGPLAN Object-Oriented Programming Systems Languages and Applications (OOPSLA) 2021, 27 pages
Note: APIFix tool is now open-sourced in Github
  
[ISSTA'21]
Automated Patch Backporting in Linux (Experience Paper)
Ridwan Shariffdeen, Xiang Gao, Gregory J Duck, Shin Hwei Tan, Julia Lawall, Abhik Roychoudhury
(One-line Abstract) Patch backporting technique that can automatically transfer patches from the mainline version of Linux into older stable versions
30th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2021, 12 pages
Note: Our artifact @ 10.5281/zenodo.4764704, was evaluated as Available , Functional and Reusable .
Note: FixMorph tool is now open-sourced in Github
Note: Our data, empirical evaluation, and replication package are available @ fixmorph.github.io
🏆 Award: Our artifact was awarded the "Distinguished Artifact Award" at ISSTA'21
  
[PLDI'21]
Concolic Program Repair
Ridwan Shariffdeen, Yannic Noller, Lars Grunske, Abhik Roychoudhury
(One-line Abstract) Detecting and discarding over-fitting patches via systematic co-exploration of the patch space and input space
42nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) 2021, 16 pages
Note: Our artifact @ 10.5281/zenodo.4668317, was evaluated as Available , Functional and Reusable .
Note: CPR tool is now open-sourced in Github
Note: Our data, empirical evaluation, and replication package are available @ cpr-tool.github.io
  
[TOSEM'21]
Automated Patch Transplantation
Ridwan Shariffdeen, Shin Hwei Tan, Mingyuan Gao, Abhik Roychoudhury
(One-line Abstract) Identifying patch insertion points, as well as namespaces translation across programs via symbolic execution
ACM Transactions on Software Engineering and Methodology (TOSEM), 30(1), pages 1-36, 2021.
Note: Selected as journal-first contribution to be presented at ICSE'21
Note: PatchWeave tool is now open-sourced in Github
Note: Our data, empirical evaluation, and replication package are available @ patchweave.github.io
  
[CLOUD'16]
Workload and Resource Aware Proactive Auto-scaler for PaaS Cloud
R.S. Shariffdeen, D.T.S.P. Munasinghe, H.S. Bhathiya, U.K.J.U. Bandara and H.M.N. Dilum Bandara
(One-line Abstract) A proactive and cost-aware auto-scaling solution to address scaling issues
IEEE 9th International Conference on Cloud Computing (CLOUD), 2016
  
[CLOUD'16]
Adaptive workload prediction for proactive auto scaling in PaaS systems
R.S. Shariffdeen, D.T.S.P. Munasinghe, H.S. Bhathiya, U.K.J.U. Bandara and H.M.N. Dilum Bandara
(One-line Abstract) An ensemble workload prediction based on time series and machine learning techniques
2nd International Conference on Cloud Computing Technologies and Applications (CloudTech), 2016