Predicting Vulnerability In Large Codebases With Deep Code Representation. - Anshul Tanwar; Krishna Sundaresan; Parmesh Ashwath; Prasanna Ganesan; Sathish Kumar Chandrasekaran; Sriram Ravi (CoRR, 2020)

Multi-context Attention Fusion Neural Network for Software Vulnerability Identification. - Anshul Tanwar; Hariharan Manikandan; Krishna Sundaresan; Prasanna Ganesan; Sathish Kumar Chandrasekaran; Sriram Ravi (CoRR, 2021)

Assessing Validity of Static Analysis Warnings using Ensemble Learning. - Anshul Tanwar; Hariharan Manikandan; Krishna Sundaresan; Prasanna Ganesan; Sathish Kumar Chandrasekaran; Sriram Ravi (CoRR, 2021)

Proximal Instance Aggregator networks for explainable security vulnerability detection. - Hariharan Manikandan; Sathish Kumar Chandrasekaran; Anshul Tanwar; Krishna Sundaresan; Prasanna Ganesan; Sriram Ravi; R. Karthik 001 (Future Gener. Comput. Syst., 2022)

Detecting log anomaly using subword attention encoder and probabilistic feature selection. - Hariharan Manikandan; Abhinesh Mishra; Sriram Ravi; Ankita Sharma; Anshul Tanwar; Krishna Sundaresan; Prasanna Ganesan; R. Karthik 001 (Appl. Intell., 2023)