16 citations · 31 across the 15 of their papers we have counts for
9 papers · 1 filter
Private Synthetic Data Generation in Bounded Memory
Rayne Holland, Seyit Camtepe, Chandra Thapa +1
We propose , a lightweight synthetic data generator with \textit{differential privacy} guarantees. uses a novel hierarchical decomposition that a…
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
Bacui Li, Tansu Alpcan, Chandra Thapa +1
By leveraging the principles of quantum mechanics, QML opens doors to novel approaches in machine learning and offers potential speedup. However, machine learning models are well-d…
Attacking Slicing Network via Side-channel Reinforcement Learning Attack
Wei Shao, Chandra Thapa, Rayne Holland +2
Network slicing in 5G and the future 6G networks will enable the creation of multiple virtualized networks on a shared physical infrastructure. This innovative approach enables the…
A Hybrid Quantum Neural Network for Split Learning
Hevish Cowlessur, Chandra Thapa, Tansu Alpcan +1
Quantum Machine Learning (QML) is an emerging field of research with potential applications to distributed collaborative learning, such as Split Learning (SL). SL allows resource-c…
One-Shot Collaborative Data Distillation
William Holland, Chandra Thapa, Sarah Ali Siddiqui +2
Large machine-learning training datasets can be distilled into small collections of informative synthetic data samples. These synthetic sets support efficient model learning and re…
MTDSense: AI-Based Fingerprinting of Moving Target Defense Techniques in Software-Defined Networking
Tina Moghaddam, Guowei Yang, Chandra Thapa +2
Moving target defenses (MTD) are proactive security techniques that enhance network security by confusing the attacker and limiting their attack window. MTDs have been shown to hav…
Elevating Software Trust: Unveiling and Quantifying the Risk Landscape
Sarah Ali Siddiqui, Chandra Thapa, Rayne Holland +2
Considering the ever-evolving threat landscape and rapid changes in software development, we propose a risk assessment framework called SAFER (Software Analysis Framework for Evalu…
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation
Wei Shao, Rongyi Zhu, Cai Yang +7
Spatiotemporal data is prevalent in a wide range of edge devices, such as those used in personal communication and financial transactions. Recent advancements have sparked a growin…
Mitigation of Channel Tampering Attacks in Continuous-Variable Quantum Key Distribution
Sebastian P. Kish, Chandra Thapa, Mikhael Sayat +3
Despite significant advancements in continuous-variable quantum key distribution (CV-QKD), practical CV-QKD systems can be compromised by various attacks. Consequently, identifying…