Difference between revisions of "Cybersecurity"
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* Adversarial Attacks on [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]] | * Adversarial Attacks on [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]] | ||
* [http://medium.com/syncedreview/breaking-down-the-tencent-2018-cybersecurity-report-26b3befde3f4 Breaking Down the Tencent 2018 Cybersecurity Report] | * [http://medium.com/syncedreview/breaking-down-the-tencent-2018-cybersecurity-report-26b3befde3f4 Breaking Down the Tencent 2018 Cybersecurity Report] | ||
| − | * [http://chronicle.security/ Chronicle] combines all the best parts of Google and X culture | + | * [http://chronicle.security/ Chronicle] combines all the best parts of [[Google]] and X culture |
* [http://pathmind.com/wiki/fraud-detection Fraud and Anomaly Detection | Chris Nicholson - A.I. Wiki pathmind] | * [http://pathmind.com/wiki/fraud-detection Fraud and Anomaly Detection | Chris Nicholson - A.I. Wiki pathmind] | ||
* [http://us-cert.cisa.gov/sites/default/files/FactSheets/NCCIC%20ICS_FactSheet_CSET_S508C.pdf The Cyber Security Evaluation Tool (CSET®) | National Cybersecurity and Communications Integration Center] ...provides a systematic, disciplined, and repeatable approach for evaluating an organization’s security posture | * [http://us-cert.cisa.gov/sites/default/files/FactSheets/NCCIC%20ICS_FactSheet_CSET_S508C.pdf The Cyber Security Evaluation Tool (CSET®) | National Cybersecurity and Communications Integration Center] ...provides a systematic, disciplined, and repeatable approach for evaluating an organization’s security posture | ||
Revision as of 21:16, 7 September 2020
Youtube search... ...Google search
- Case Studies
- Capabilities
- Cybersecurity References
- Offense - Adversarial Threats/Attacks
- Cybersecurity Frameworks, Architectures & Roadmaps
- Cybersecurity Companies/Products
- Cybersecurity: National Institute of Standards and Technology (NIST) & U.S. Department of Homeland Security (DHS)
- Cybersecurity: Evaluating & Selling
- (Artificial) Immune System
- Useful Models ...find outliers:
- Detecting Malicious Requests with Keras & TensorFlow | Adam Kusey - Medium
- Best security software: How 12 cutting-edge tools tackle today's threats | CSO
- graphistry.com
- Intelligence Advanced Research Projects Activity (IARPA)Is Trying Keep Adversaries From Corrupting AI Tools ... Could cyber adversaries be training the government’s artificial intelligence tools to fail? | Jack Corrigan - Nextgov
- TrojAI - Office of the Director of National Intelligence Office: Intelligence Advanced Research Projects Activity FedBizOpps.gov predict whether AI systems have been corrupted through so-called “Trojan attacks.”
- Adversarial Attacks on Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning
- Breaking Down the Tencent 2018 Cybersecurity Report
- Chronicle combines all the best parts of Google and X culture
- Fraud and Anomaly Detection | Chris Nicholson - A.I. Wiki pathmind
- The Cyber Security Evaluation Tool (CSET®) | National Cybersecurity and Communications Integration Center ...provides a systematic, disciplined, and repeatable approach for evaluating an organization’s security posture
- Watch me Build a Cybersecurity Startup | Siraj Raval
Fraud Detection
- Introduction to Fraud Detection Systems | Miguel Gonzalez-Fierro, Microsoft
- AI for Health Insurance Fraud Detection – Current Applications | Niccolo Mejia
Data Center Security
