Research projects at the Intel Science & Technology Center for Adversary-Resilient Security Analytics are underway and include:
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Adversarial machine learning: study the vulnerabilities of ML algorithms and attacks on ML-based systems
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Adversarial-resilience: create design improvements to ML algorithms
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MLSPLOIT: build an ML-based malware analysis framework for experiments with attacks on ML and evaluation of improvements to ML algorithms
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Next-generation security analytics: explore the Intel-PT traces for program monitoring and malware analysis
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Robust security analytics: explore using Intel-SGX to protect a security analysis system, including ML-based modules
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