标题
Taxonomy of Machine Learning Safety: A Survey and Primer
作者
关键词
-
出版物
ACM COMPUTING SURVEYS
Volume -, Issue -, Pages -
出版商
Association for Computing Machinery (ACM)
发表日期
2022-07-27
DOI
10.1145/3551385
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- SPLASH: Learnable activation functions for improving accuracy and adversarial robustness
- (2021) Mohammadamin Tavakoli et al. NEURAL NETWORKS
- Assuring the Machine Learning Lifecycle
- (2021) Rob Ashmore et al. ACM COMPUTING SURVEYS
- A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability
- (2020) Xiaowei Huang et al. Computer Science Review
- Bridging the Gap Between Ethics and Practice
- (2020) Ben Shneiderman ACM Transactions on Interactive Intelligent Systems
- Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
- (2019) Tommaso Dreossi et al. JOURNAL OF AUTOMATED REASONING
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
- (2019) Alejandro Barredo Arrieta et al. Information Fusion
- ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
- (2018) Minsuk Kahng et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
- (2018) Hendrik Strobelt et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
- (2018) Takeru Miyato et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Evaluating the Visualization of What a Deep Neural Network Has Learned
- (2017) Wojciech Samek et al. IEEE Transactions on Neural Networks and Learning Systems
- Autonomous Vehicle Safety: An Interdisciplinary Challenge
- (2017) Philip Koopman et al. IEEE Intelligent Transportation Systems Magazine
- Machine Learning With Big Data: Challenges and Approaches
- (2017) Alexandra L'Heureux et al. IEEE Access
- Agreeing to disagree: active learning with noisy labels without crowdsourcing
- (2017) Mohamed-Rafik Bouguelia et al. International Journal of Machine Learning and Cybernetics
- On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
- (2015) Sebastian Bach et al. PLoS One
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More