Research projects at the Intel Science & Technology Center for Adversary-Resilient Security Analytics are underway and include:

  1. Adversarial machine learning: study the vulnerabilities of ML algorithms and attacks on ML-based systems

  2. Adversarial-resilience: create design improvements to ML algorithms

  3. MLSPLOIT: build an ML-based malware analysis framework for experiments with attacks on ML and evaluation of improvements to ML algorithms

  4. Next-generation security analytics: explore the Intel-PT traces for program monitoring and malware analysis

  5. Robust security analytics: explore using Intel-SGX to protect a security analysis system, including ML-based modules

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