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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
+  - Secure information flow
+  - Finding vulnerabilities
+  - Defensive measures and mitigations
+
+Differential Privacy
+  - Basic mechanisms
+  - Local Differential Privacy
+
+Cryptographic Techniques
+  - Zero-knowledge proofs
+  - Secure multi-party computation
+  - Verifiable computation
+
+Adversarial Machine Learning
+  - Training-time attacks
+  - Test-time attacks
+  - Model theft attacks
+
+Grading will be based on three components:
+  - Reading research papers and writing reviews
+  - Homeworks
+  - Class project