521 citations · 671 across the 8 of their papers we have counts for
8 papers
From Benchmark Data To Applicable Program Repair: An Experience Report
Mahinthan Chandramohan, Jovan Jancic, Yuntong Zhang +1
This paper describes our approach to automated program repair. We combine various techniques from the literature to achieve this. Our experiments show that our approach performs be…
Streamlining Security Vulnerability Triage with Large Language Models
Mohammad Jalili Torkamani, Joey NG, Nikita Mehrotra +3
Bug triaging for security vulnerabilities is a critical part of software maintenance, ensuring that the most pressing vulnerabilities are addressed promptly to safeguard system int…
Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models
Mahinthan Chandramohan, Dai Quoc Nguyen, Padmanabhan Krishnan +1
Automatically locating a bug within a large codebase remains a significant challenge for developers. Existing techniques often struggle with generalizability and deployment due to…
ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence
Haoxi Tan, Mahin Chandramohan, Cristina Cifuentes +2
Malware analysis is still largely a manual task. This slow and inefficient approach does not scale to the exponential rise in the rate of new unique malware generated. Hence, autom…
graph2vec: Learning Distributed Representations of Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan +3
Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs. Ho…
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +1
It is well-known that Android malware constantly evolves so as to evade detection. This causes the entire malware population to be non-stationary. Contrary to this fact, most of th…
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +1
Existing Android malware detection approaches use a variety of features such as security sensitive APIs, system calls, control-flow structures and information flows in conjunction…
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +2
In this paper, we present subgraph2vec, a novel approach for learning latent representations of rooted subgraphs from large graphs inspired by recent advancements in Deep Learning…