Police: Provably Optimal Linear Constraint Enforcement For Deep Neural Networks
Author:
Affiliation:
1. Fair Nyc,Meta AI,USA
2. Fair, Nyu Nyc,Meta AI,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096520.pdf?arnumber=10096520
Reference26 articles.
1. Interior Methods for Nonlinear Optimization
2. Adversarial Examples: Attacks and Defenses for Deep Learning
3. Provable defenses against adversarial examples via the convex outer adversarial polytope;wong;International Conference on Machine Learning,2018
4. Concolic testing for deep neural networks
5. Explaining and harnessing adversarial examples;goodfellow,2014
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Modularity in Deep Learning: A Survey;Lecture Notes in Networks and Systems;2023
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