5 papers
LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning
Dung Thuy Nguyen, Ziyan An, Taylor T. Johnson +2
This paper introduces LOGSAFE, a defense mechanism for federated learning in time series settings, particularly within cyber-physical systems. It addresses poisoning attacks by mov…
SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities
Dung Thuy Nguyen, Quang Nguyen, Preston K. Robinette +3
Recent advances in 3D-aware generative models have enabled high-fidelity image synthesis of human identities. However, this progress raises urgent questions around user consent and…
PBP: Post-training Backdoor Purification for Malware Classifiers
Dung Thuy Nguyen, Ngoc N. Tran, Taylor T. Johnson +1
In recent years, the rise of machine learning (ML) in cybersecurity has brought new challenges, including the increasing threat of backdoor poisoning attacks on ML malware classifi…
PARDON: Privacy-Aware and Robust Federated Domain Generalization
Dung Thuy Nguyen, Taylor T. Johnson, Kevin Leach
Federated Learning (FL) shows promise in preserving privacy and enabling collaborative learning. However, most current solutions focus on private data collected from a single domai…
Trigger-Based Fragile Model Watermarking for Image Transformation Networks
Preston K. Robinette, Dung T. Nguyen, Samuel Sasaki +1
In fragile watermarking, a sensitive watermark is embedded in an object in a manner such that the watermark breaks upon tampering. This fragile process can be used to ensure the in…