Jennifer Cobbe
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 Jennifer Cobbe's perspective
Ordered by how strongly the researchers Jennifer Cobbe 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)
- google,我,萨娜
- The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
- A survey of machine learning for big data processing
- Algorithms that remember: model inversion attacks and data protection law
- A survey of network anomaly detection techniques (Journal of Network and Computer Applications)
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
- Information-theoretic measures for anomaly detection (Proceedings 2001 IEEE Symposium on Security and Privacy. S&P 2001)
Their papers
- Monitoring Misuse for Accountable 'Artificial Intelligence as a Service' (2020) — 29 citations