Sign In
insight - Certified Training Methods
Understanding the Success of Certified Training with Interval Bound Propagation
The author investigates the success of certified training methods using Interval Bound Propagation (IBP) and highlights the importance of network architecture choices in achieving high tightness for robustness certification.
Overcoming the Paradox of Certified Training with Gaussian Smoothing: A Deep Dive into Neural Network Robustness
Gaussian Loss Smoothing can overcome the paradox of certified training by inducing continuity and differentiability in loss surfaces, leading to improved network performance.
Products | Resources
Read more
- pointmamba-点群分析のための効率的な状態空間モデル
- personalisierte-generative-3d-avatare-mit-zusammengesetzten-attributen
- 점-구름-분석을-위한-간단한-상태-공간-모델
- 真のメモリカーネルを学習する一般化ランジュバン方程式
- 中国口語音楽説明ベンチマーク-音楽理解モデルの評価のために
- estimating-shapley-curves-a-rigorous-nonparametric-approach-for-quantifying-variable-importance
- 진화-랜주빈-방정식의-메모리-커널-학습
- ein-einfaches-zustandsraummodell-für-die-punktwolkenanalyse
© 2024 by Linnk AI