对抗防御
2021-05-19 22:54:34 0 举报AI智能生成
登录查看完整内容
为你推荐
查看更多
针对深度学习对抗样本的鲁棒性防御方法
作者其他创作
大纲/内容
对抗防御
Adversarial Training
PGD-AT
TRADES
Feature Scattering
Free Adversarial Training
Friendly Adversarial Training
Adversarial Distributional Training
Ensemble Adversarial Training
Robust Overfitting
Bag Of Tricks
Adversarial Hypersphere Training
Max-Mahalanobis AT
Adversarial Wavelet Training
Input Transformation
JPEG Compression
bit-depth reduction
total varianceminimization
autoencoder-based denoising
Non-Local Denoising
Randomization
Bayesian Deep Learning
Random Self Ensemble
Mixup Inference
Stochastic activation pruning
Label Smoothing
Ensemble
Defense Ensemeble Thu-ML
Defense Ensemble Duke
Certified Defense
Randomized Smoothing
Randomized discretization
Semidefinite relaxations
Distributional robustness with principled adversarial training
Convex outer adversarial polytope certification
Scaling provable adversarial defenses
Inducing ReLU Stability
Semi-supervised Learning
Self-Adaptive Learning
Unlabeled data improves adversarial robustness
Adversarially Robust Generalization Just Requires More Unlabeled Data
0 条评论
回复 删除
下一页
