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GTC ON-DEMAND

Cyber Security
Presentation
Media
Machine Learning for Security and Security for Machine Learning
Abstract:

We discuss the connection between using machine learning for security applications as well as the security of machine learning algorithms.  Examples include the use of NLP processing techniques with multi-layer RNNs for cyber event log anomaly detection. We compare the effectiveness of standard and bidirectional RNN language models for detecting malicious activity within the Los Alamos National Laboratory cybersecurity dataset. Additionally, deep learning augmentation of software fuzzing and light based adversarial attacks on deep learning image classification systems will be highlighted. 

 
Topics:
Cyber Security, AI & Deep Learning Research, Speech & Language Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9805
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