Associate ProfessorSuranga Seneviratne

A Trust-Aware Security Framework for LLM Agent Extensions

Adversarial and Out-of-Distribution Perspectives on Deep Neural Network Robustness

Agentic AI Security Framework

Analytics Over Encrypted Traffic and Defenses

Automated Mobile Content Compliance Verification Using Multimodal Learning

Automatic Privacy Compliance Checks for Mobile Apps Using Natural Language Processing

Distributed Inference of Large Language Models on Resource-Constrained Devices

Efficient Fine-Tuning of Large Language Models as A Personal Agent

Efficient Parameter Fine Tuning for Large Language Models

Enhanced Cybersecurity through Artificial Intelligence Driven Red Teaming and Blue Teaming

Enhancing blockchain security inspired by Ethereum

Harnessing Large Language Models and Deep Reinforcement Learning for Solving Graph and Optimization Problems

Learning Human Preferences for Personalized AI under Resource Constraints

Multi-Objective Optimization in Flat Glass Cutting Production through the Application of Manufacturing Execution Systems

Open-set Face Recognition under Challenging Conditions

Robust Phishing URL Detection Through Deep Learning and Domain Shift Mitigation

Secure storage as a service

Situational Awareness through Passive Monitoring of Network Traffic

Towards Optimal and Practical Asynchronous Byzantine Fault Tolerant Protocols

Towards Private and Compliable Blockchain Applications