Adversarial Robustness in Machine Learning
Topics
Description: This cluster of papers focuses on the robustness of deep learning models against adversarial attacks, exploring topics such as adversarial examples, security, uncertainty estimation, defenses, and ver... more
Related topics (siblings) Advanced Clustering Algorithms Research, Advanced Computational Techniques and Applications, Advanced Graph Neural Networks, Advanced Software Engineering Methodologies, Advanced Technologies in Various Fields +71 more
Subfield (parent): Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Works count: 32,750
Citations count: 532,500
Explaining and Harnessing Adversarial Examples
2014 · Ian Goodfellow, Jonathon Shlens, et al. · arXiv (Cornell University)
Explaining and Harnessing Adversarial Examples
2015 · Ian Goodfellow, Jonathon Shlens, et al. · International Conference on Learning Representations
Towards Evaluating the Robustness of Neural Networks
2017 · Nicholas Carlini, David Wagner · 2022 IEEE Symposium on Security and Privacy (SP)