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How to Train your Antivirus: RL-based Hardening through the Problem-Space
It also makes possible to provide theoretical guarantees on the robustness of the model against a particular set of adversarial capabilities.
Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses
To reliably measure robustness, it is important to evaluate against realistic and worst-case attacks.
A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks
(2) Methods: we present a descriptive feature comparison study of the three most prominent orchestration frameworks: Docker Swarm, Kubernetes, and Mesos, which can be combined with Marathon, Aurora or DC/OS.
Distributed, Parallel, and Cluster Computing
Automated Website Fingerprinting through Deep Learning
In our open world evaluation, the most performant deep learning model is 2% more accurate than the state-of-the-art attack.
