Alex Mathai
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View article: CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs Open
Machine Learning (ML) for software engineering (SE) has gained prominence due to its ability to significantly enhance the performance of various SE applications. This progress is largely attributed to the development of generalizable sourc…
View article: KGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
KGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution Open
Large Language Models (LLMs) are consistently improving at increasingly realistic software engineering (SE) tasks. In real-world software stacks, significant SE effort is spent developing foundational system software like the Linux kernel.…
View article: Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network Open
Monolithic software encapsulates all functional capabilities into a single deployable unit. But managing it becomes harder as the demand for new functionalities grow. Microservice architecture is seen as an alternative as it advocates buil…
View article: Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation
Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation Open
Social media, professional sports, and video games are driving rapid growth in live video streaming, on platforms such as Twitch and YouTube Live. Live streaming experience is very susceptible to short-time-scale network congestion since c…
View article: Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network Open
Monolithic software encapsulates all functional capabilities into a single deployable unit. But managing it becomes harder as the demand for new functionalities grow. Microservice architecture is seen as an alternate as it advocates buildi…
View article: Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks Open
We propose a novel genetic-algorithm technique that generates black-box adversarial examples which successfully fool neural network based text classifiers. We perform a genetic search with multi-objective optimization guided by deep learni…
View article: Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective\n Genetic Optimization Guided By Deep Networks
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective\n Genetic Optimization Guided By Deep Networks Open
We propose a novel genetic-algorithm technique that generates black-box\nadversarial examples which successfully fool neural network based text\nclassifiers. We perform a genetic search with multi-objective optimization\nguided by deep lea…