N-CRiPT Public Seminar: Privacy-aware Analytics for Human Attributes from Images

Jointly presented with SGInnovate

Speaker: Professor Mohan Kankanhalli

Date & Time: Thursday 29 April, 4.00pm – 5.00pm

Analyzing human attributes such as emotions, gender and age in images and videos is very important for many applications. Many existing methods perform well by utilizing human faces information. However, face images raise serious privacy concerns as they reveal people’s identity. We describe our on-going research on the problem of human attributes prediction under privacy-preserving conditions. We first did a human study of age, gender, and emotion prediction in images under various identity preserving scenarios – obfuscating eyes, lower face, head or the full face. Motivated by this human study, we developed a multi-tasking deep learning model for context-guided human attributes prediction and we present its results. We will end with a general discussion on privacy concerns related to image and video data analytics.

A recording of the webinar is available here.


Mohan Kankanhalli is Provost’s Chair Professor of Computer Science at the National University of Singapore (NUS). He is also the Dean of NUS School of Computing. Before becoming the Dean in July 2016, he was the NUS Vice Provost (Graduate Education) during 2014-2016 and Associate Provost during 2011-2013. Mohan obtained his BTech from IIT Kharagpur and MS & PhD from the Rensselaer Polytechnic Institute. Mohan’s research interests are in Multimedia Computing, Information Security and Privacy, Image/Video Processing and Social Media Analysis.

He directs N-CRiPT (NUS Centre for Research in Privacy Technologies) which conducts research on privacy on structured as well as unstructured (multimedia, sensors, IoT) data. N-CRiPT looks at privacy at both individual and organizational levels along the entire data life cycle. He is personally involved in privacy research related to images, video and social media as well as privacy risk management. N-CRiPT, which has been funded by Singapore’s National Research Foundation, works with many industry, government and academic partners.