Machine learning

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FILES UNDER EMBARGO

ADVERSARIAL ATTACK ANALYSIS OF A PHISHING EMAIL DETECTION SYSTEM BASED ON MACHINELEARNING AND WORD ERROR CORRECTION

thesis posted on 2025-05-07

Deeksha Hareesha Kulal

FILES UNDER EMBARGO

RANKED CLUSTER INFLUENCE: A DEFENSE AGAINST ADVERSARIAL LABELING ATTACKS ON FAIRNESS

thesis posted on 2025-04-26

Athreyan Mohana Krishnan Sangeetha

FILES UNDER EMBARGO

Investigation of Backdoor Attacks and Design of Effective Countermeasures in Federated Learning

thesis posted on 2024-09-03

Agnideven Palanisamy Sundar

ANALYSIS OF LATENT SPACE REPRESENTATIONS FOR OBJECT DETECTION

ANALYSIS OF LATENT SPACE REPRESENTATIONS FOR OBJECT DETECTION

thesis posted on 2024-09-03

A Comprehensive Approach to Evaluating Usability and Hyperparameter Selection for Synthetic Data Generation

A Comprehensive Approach to Evaluating Usability and Hyperparameter Selection for Synthetic Data Generation

thesis posted on 2024-07-20

Adriana Louise Watson

TOWARDS SECURE AND ROBUST 3D PERCEPTION IN THE REAL WORLD: AN ADVERSARIAL APPROACH

TOWARDS SECURE AND ROBUST 3D PERCEPTION IN THE REAL WORLD: AN ADVERSARIAL APPROACH

thesis posted on 2024-07-11

<b>Explaining Generative Adversarial Network Time Series Anomaly Detection using Shapley Additive Explanations</b>

Explaining Generative Adversarial Network Time Series Anomaly Detection using Shapley Additive Explanations

thesis posted on 2024-07-10

Towards Secure and Safe AI-enabled Systems Through Optimizations

Towards Secure and Safe AI-enabled Systems Through Optimizations

thesis posted on 2024-05-15

FILES UNDER EMBARGO

An Image-based ML Approach for Wi-Fi Intrusion Detection System and Education Modules for Security and Privacy in ML

thesis posted on 2024-05-02

Rayed Suhail Ahmad

<b>EXPLORING ENSEMBLE MODELS AND GAN-BASED </b><b>APPROACHES FOR AUTOMATED DETECTION OF </b><b>MACHINE-GENERATED TEXT</b>

EXPLORING ENSEMBLE MODELS AND GAN-BASED APPROACHES FOR AUTOMATED DETECTION OF MACHINE-GENERATED TEXT

thesis posted on 2024-04-29

Adversarial Attacks On Graph Convolutional Transformer With EHR Data

Adversarial Attacks On Graph Convolutional Transformer With EHR Data

thesis posted on 2024-04-28

Siddhartha Pothukuchi

Deep Synthesis of Distortion-free 3D Omnidirectional Imagery from 2D Images

Deep Synthesis of Distortion-free 3D Omnidirectional Imagery from 2D Images

thesis posted on 2024-04-22

Christopher K May

<b>Advanced Algorithms for X-ray CT Image Reconstruction and Processing</b>

Advanced Algorithms for X-ray CT Image Reconstruction and Processing

thesis posted on 2024-02-05

Madhuri Mahendra Nagare

<b>Deep Neural Network Structural Vulnerabilities And Remedial Measures</b>

Deep Neural Network Structural Vulnerabilities And Remedial Measures

thesis posted on 2023-12-02

Generative Image-to-Image Translation with Applications in Computational Pathology

Generative Image-to-Image Translation with Applications in Computational Pathology

thesis posted on 2023-10-24

On the Neural Representation for Adversarial Attack and Defense

On the Neural Representation for Adversarial Attack and Defense

thesis posted on 2023-10-20

NON-INTRUSIVE WIRELESS SENSING WITH MACHINE LEARNING

NON-INTRUSIVE WIRELESS SENSING WITH MACHINE LEARNING

thesis posted on 2023-08-30

SELF-SUPERVISED ONE-SHOT LEARNING FOR AUTOMATIC SEGMENTATION OF GAN-GENERATED IMAGES

SELF-SUPERVISED ONE-SHOT LEARNING FOR AUTOMATIC SEGMENTATION OF GAN-GENERATED IMAGES

thesis posted on 2023-07-11

Ankit V Manerikar

USING RANDOMNESS TO DEFEND AGAINST ADVERSARIAL EXAMPLES IN COMPUTER VISION

USING RANDOMNESS TO DEFEND AGAINST ADVERSARIAL EXAMPLES IN COMPUTER VISION

thesis posted on 2022-11-29

A Graybox Defense Through Bootstrapping Deep Neural Network

A Graybox Defense Through Bootstrapping Deep Neural Network

thesis posted on 2022-11-11

Kirsen L Sullivan

Trojan Attacks and Defenses on Deep Neural Networks

Trojan Attacks and Defenses on Deep Neural Networks

thesis posted on 2022-10-13

DEEP LEARNING BASED MODELS FOR NOVELTY ADAPTATION IN AUTONOMOUS MULTI-AGENT SYSTEMS

DEEP LEARNING BASED MODELS FOR NOVELTY ADAPTATION IN AUTONOMOUS MULTI-AGENT SYSTEMS

thesis posted on 2022-07-20

Marina Wagdy Wadea Haliem

Bridging the gap between human and computer vision in machine learning, adversarial and manifold learning for high-dimensional data

Bridging the gap between human and computer vision in machine learning, adversarial and manifold learning for high-dimensional data

thesis posted on 2022-07-01

Towards Privacy and Communication Efficiency in Distributed Representation Learning

Towards Privacy and Communication Efficiency in Distributed Representation Learning

thesis posted on 2022-06-10