WebWe show that LOT significantly outperforms baselines regarding deterministic l2 certified robustness, and scales to deeper neural networks. Under the supervised scenario, we improve the state-of-the-art certified robustness for all architectures (e.g. from 59.04% to 63.50% on CIFAR-10 and from 32.57% to 34.59% on CIFAR-100 at radius ρ = 36/255 ... Web25 de jul. de 2011 · Here, we aim to put recent progress in both experimental and theoretical neuroscience (1–15) in the context of a shared conceptual and mathematical framework (7, 16–32) in which a main theme is that complexity is driven by robustness and not by minimal functionality.We will emphasize robustness and efficiency tradeoffs and constraints …

Measuring Neural Net Robustness with Constraints

Web24 de mai. de 2016 · This work proposes metrics for measuring the robustness of a neural net and devise a novel algorithm for approximating these metrics based on an encoding of robustness as a linear program and generates more informative estimates of robusts metrics compared to estimates based on existing algorithms. Despite having high … Web—New general rules have been developed for designing complex controllers under constraints on robustness and sensitivity to measurement noise. The design is based on a compromise between robustness and performance. This solution makes possible obtaining practically realizable complex controllers. It is shown that the proposed method results … inclination\\u0027s mc

On the Robustness of Domain Constraints - arXiv

WebDomain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples HamidBostani 1,ZhuoranLiu ,ZhengyuZhao2,andVeelashaMoonsamy3 1 ... Webconstraint enforcement restored model accuracy by 34%. 2 OVERVIEW In order to measure the robustness of constrained domains against adversarial examples, we … inboxdollars customer