Notes for previous version CS 839.

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+Security and Privacy are emerging as very important research areas.
+Vulnerabilities in software are found and exploited almost everyday
+and with disastrous consequences (e.g., the Equifax massive data
+breach).  Moreover, our private data is increasingly at risk and thus
+techniques that enhance privacy of sensitive data (known as
+privacy-enhancing technologies (PETS)) are becoming increasingly
+important. Also, machine-learning (ML) is increasingly being utilized to
+make decisions in critical sectors (e.g., health care, automation, and
+finance). However, in deploying these algorithms presence of malicious
+adversaries is generally ignored.
+
+This advanced topics class will tackle techniques related to all these
+themes. We will investigate techniques to make software more secure.
+Techniques for ensuring privacy of sensitive data will also be
+covered.  Adversarial ML (what happens to ML algorithms in the
+presence of adversaries?)  will be also be discussed. List of some
+topics that we will cover (obviously not complete) are given below.
+
+Software Security:
+- Information flow
+- Techniques for finding vulnerabilities in software
+- Defense techniques (e.g., control-flow integrity)
+
+Privacy:
+- Differential Privacy
+- Zero-knowledge proofs
+- Secure multi-party computation
+
+Adversarial ML:
+- Training-time attacks
+- Test-time attacks
+- Model Theft attacks
+
+Grading: There are three components that relate to grading: 
+- Reading research papers and writing reviews. 
+- Few homeworks.
+- Class project.