Michelle Seng Ah Lee
2020
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Michelle Seng Ah Lee's perspective
Ordered by how strongly the researchers Michelle Seng Ah Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Anomaly detection: A survey
- Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
- Privacy, Security and Trust Issues Arising from Cloud Computing (2010 IEEE Second International Conference on Cloud Computing Technology and Science)
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- The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
- Algorithms that remember: model inversion attacks and data protection law
- A survey of machine learning for big data processing
- A survey of network anomaly detection techniques (Journal of Network and Computer Applications)
- Information-theoretic measures for anomaly detection (Proceedings 2001 IEEE Symposium on Security and Privacy. S&P 2001)
- Outlier Detection Using Replicator Neural Networks (International Conference on Data Warehousing and Knowledge Discovery)
Their papers
- Monitoring Misuse for Accountable 'Artificial Intelligence as a Service' (2020) — 29 citations