The robustness in Learning theory
组织者
演讲者
时间
2023年05月29日 16:00 至 16:30
地点
数学系理科楼A-203
摘要
In this report, I shall introduce the theory robustness of neural networks. Extensive studies have been devoted to developing neural networks with certified robustness guarantees. Existing approaches can be mainly divided into the following three categories: certified defenses via randomized smoothing, certified defenses for standard networks and certified defenses using Lipschitz networks. I will introduce recent work on robustness of neural networks.