CS 294-65: Privacy Technologies: From Theory to Practice
|Soda Hall 320
Huge volumes of data containing sensitive/private information are
being collected and stored by websites, sensors/monitoring systems,
auditing systems, and so on. Examples include electronic records in
health care systems and location information in ubiquitous computing
applications. How can we protect users' privacy and at the same time
enable effective sharing and utilization of the distributed data? How
can we ensure that cloud services do not misuse users' data or violate
privacy policies? And how can we provide desirable services to users
and protect their privacy even when the servers are untrusted?
The general theme of this course is to explore potential
techniques for building new platforms, services, and tools that protect
users' privacy. In particular, we emphasize
the technical and economic viability, as well as the usability of these
We will study promising component technologies ranging
from advances in secure systems research
(e.g., trusted computing, virtualization),
to theoretic tools like differential privacy and cryptography.
Topics intended for discussion include but are not limited to:
-- Attacks against privacy, including de-anoymization and
-- Trusted computing, code attestation and property attestation
-- Data provenance
-- Privacy of user data in the cloud
-- Privacy-preserving data mining
-- Differential privacy, data anonymization and perturbation techniques
-- Privacy-preserving software systems and applications
-- Cryptographic techniques for privacy
The goal of this class is twofold: (1) to arm students with a set of core techniques they can use to address privacy issues in their research areas and application domains, (2) to introduce students to important research questions and prepare them to conduct additional research in these areas.
The class on Monday Feb 7th will be moved to Soda 405. We will begin at the regular
hour 4pm. See you there!
Lecture slides and scribe notes:
Lecture slides and scribe notes are available here.
The username and password have been announced in class.
You can also send email to
Please join Google Groups
to receive announcements about the class.
The class is research oriented.
In each class,
the instructor will give a
lecture based on materials from 2 to 3 selected papers.
Then, there will be
1-2 short student presentations on additional reading materials.
Students should prepare to work on a class project.
Students should form groups of size 2 to 3 by the end of the 2nd lecture.
The project proposal is due at the end of the 4th lecture.
Students will give project presentations and submit a final project
report at the end of the semester.
15% Class particpation
15% Reading notes and critique
15% Scribe notes
15% Short presentation
The template for scribe notes is here with the Makefile. Please read the comments in the beginning of the file to follow the naming convention for your files. Thanks!
Weekly written assignments based on the readings can be found on the course schedule and reading list page. These assignments should be turned in by 5pm
on Sunday (the day before class).
Homework submissions should be in pdf format, and emailed to
It's important that you finish these assignments on time, since we will discuss the questions during class.
No prerequisite for graduate students,
although sufficient security background is expected. For undergraduate
students, please check with the instructor.
- Intended audience:
This course is intended for
graduate students interested in research in privacy enhancing technologies.
Both first year graduate
students and more senior graduate students are welcome. We will discuss some theorectical concepts and tools such as crypto and differential privacy. But they are there more to expose the students to the state-of-the-art tools that could help them build privacy-preserving systems. The class is geared more towards how to design and build privacy-aware and privacy-preserving systems.
The above information is subject to change.