Colloquia and Seminars

Computing Science - Colloquia and Seminars

Multimedia Forensics through Content-Based Device Fingerprint Analysis

Location: CLT. 701. Date/Time: 13th May 2014, 14:00 - 15:00
Speaker(s): Chang-Tsun Li.

Brief Description:

The past several years have seen the uses of various forms of device fingerprints from images in multimedia forensics. Among them, Sensor pattern noises (SPNs) have been proved as one of the most effective way for this task. However, as we demonstrate in this work, the limitation of the current method of extracting SPNs is that the SPNs extracted from images can be severely contaminated by details from scenes, and as a result, the identification rate is unsatisfactory unless images of a large size are used. In this work, we propose a novel approach for attenuating the influence of details from scenes on SPNs so as to improve the device identification rate of the identifier. The hypothesis underlying our SPN enhancement method is that the stronger a signal component in an SPN is, the less trustworthy the component should be, and thus should be attenuated. This hypothesis suggests that an enhanced SPN can be obtained by assigning weighting factors inversely.

When Private Set Intersection Meets Big Data

Location: CLT 701 Date/Time: 20th May 2014, 14:00 - 15:00
Speaker(s): Changyu Dong.

Brief Description:

In this talk, I will present a new Private Set Intersection (PSI) protocol that is extremely efficient and highly scalable compared with existing protocols. The design of the protocol took a novel approach that we call the "data structural" approach. Namely, the high efficiency and scalability is obtained by designing a proper data structure. I will show this data structure, which we call garbled Bloom filter, and the protocol as well. I will also talk about some applications of the protocol.

Vehicular App Development: Opportunities and Challenges

Location: CLT 701 Date/Time: 13th June 2014, 14:00 - 15:00
Speaker(s): Sid Chi-Kin Chau.

Brief Description:In this talk, I examine the opportunities and challenges that lie ahead in vehicular app development, and discuss the implications and issues in aspects such as security, privacy and safety that it entails. I also introduce some of research projects in my group, including an open-source platform for vehicular apps. 

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