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Full-Text Articles in Computer Engineering
Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness, Nicholas Furth
Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness, Nicholas Furth
Theses
Machine learning models have been shown to be vulnerable against various backdoor and data poisoning attacks that adversely affect model behavior. Additionally, these attacks have been shown to make unfair predictions with respect to certain protected features. In federated learning, multiple local models contribute to a single global model communicating only using local gradients, the issue of attacks become more prevalent and complex. Previously published works revolve around solving these issues both individually and jointly. However, there has been little study on the effects of attacks against model fairness. Demonstrated in this work, a flexible attack, which we call Un-Fair …
Segmentation And Model Generation For Large-Scale Cyber Attacks, Steven E. Strapp
Segmentation And Model Generation For Large-Scale Cyber Attacks, Steven E. Strapp
Theses
Raw Cyber attack traffic can present more questions than answers to security analysts. Especially with large-scale observables it is difficult to identify which packets are relevant and what attack behaviors are present. Many existing works in Host or Flow Clustering attempt to group similar behaviors to expedite analysis; these works often phrase the problem directly as offline unsupervised machine learning. This work proposes online processing to simultaneously model coordinating actors and segment traffic that is relevant to a target of interest, all while it is being received. The goal is not just to aggregate similar attack behaviors, but to provide …