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Found 4 papers, 4 papers with code
General Domain Adaptation Through Proportional Progressive Pseudo Labeling
Domain adaptation helps transfer the knowledge gained from a labeled source domain to an unlabeled target domain.
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
Our evaluation conducted on a dataset with a variety of network attacks shows denoising autoencoders can improve detection of malicious traffic by up to 29% in a normal setting and by up to 45% in an adversarial setting compared to other recently proposed anomaly detectors.
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses
For those defenses that have tried to make models more robust, with our technique, an adversary can craft adversarial examples with no knowledge of the defense.
FluidMem: Memory as a Service for the Datacenter
Disaggregating resources in data centers is an emerging trend.
Operating Systems
