Exploring Efficient Adversarial Training With Transferable Adversarial Examples
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- Nicholas Carlini (Google Brain) https://simons.berkeley.edu/talks/tbd-76 Frontiers of Deep Learning.
- This short course provides an overview of
- Reviewing the paper titled "
- Following the recent adoption of deep neural networks (DNN) in a wide range of application fields,
- Video for ICML 2022 Workshop on RDMDE.
In-Depth Information on Efficient Adversarial Training With Transferable Adversarial Examples
Authors: Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash Description: In Lecture 16, guest lecturer Ian Goodfellow discusses Artificial neural networks are computer programs that try to approximate what the human brain does to solve problems like ... Deep Neural Networks have achieved great success in various vision tasks in recent years. However, they remain vulnerable to ...
Adversarial Examples
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