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Module Detailed Information for [CS4257]
Academic Year : 2018/2019 Semester : 2
Correct as at 18 Feb 2019 05:00

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Module Information
Module Code :
Module Title : Algorithmic Foundations of Privacy
Module Description : This module covers algorithmic foundations of computation and communication privacy. It provides a thorough methodology for analysis of privacy against inference attacks using techniques from statistics, probability theory, and machine learning. Students will learn how to reason quantitatively about privacy, and evaluate it using the appropriate metrics. The module will help students to design privacy-preserving mechanisms for a range of systems from anonymous communication to data analytics. After this module, students should be able to identify privacy vulnerabilities in a system, design inference attacks, and propose effective countermeasures in a systematic manner.
Module Examinable : -
Exam Date : 08-05-2019 AM
Modular Credits : 4
Pre-requisite : (ST1232 or ST2131 or ST2334) and CS3230 and CS2107
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 2-0-0-5-3
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
No Tutorial Class or to be announced. Please check with the department offering this module.

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