Adversarial Attacks for Deep Image Retrieval Systems

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IAS / SCHOOL OF ENGINEERING JOINT LECTURE
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Speaker:        Professor Wei WANG
                Visiting Professor
                Department of Computer Science and Engineering
                HKUST

Title:          "Adversarial Attacks for Deep Image Retrieval Systems"

Date:           Thursday, 29 April 2021

Time:           3:00pm - 4:00pm

Zoom Link:
https://hkust.zoom.us/j/96211567247?pwd=N3JLdllhVXhiTGF1cEVVWlkvczdwQT09

Meeting ID:     962 1156 7247
Passcode:       20210429

http://ias.ust.hk/web/ias/eng/event_detail.php?id=1521

Abstract:

The development of deep learning models drastically improves the quality
of image retrieval systems, and have been widely deployed in real systems
or serve as a component in other applications such as person
reidentification. However, recent works have shown that these systems are
vulnerable to adversarial attacks where a small perturbation on the query
image could drastically change the returned results. In this talk, we will
survey and introduce several adversarial attack methods to deep image
retrieval systems under different settings, including white-box and
black-box attacks, and different retrieval system architectures.
Experimental results on several benchmark datasets and real image search
engines demonstrate the effectiveness of such attacks.


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Short Biography:

Dr. Wei Wang is a currently a Visiting Professor in the Department of
Computer Science and Engineering, Hong Kong University of Science and
Technology, Hong Kong, China. He is also a Professor in the School of
Computer Science and Engineering, The University of New South Wales,
Australia. His current research interests include Similarity Query
Processing, Artificial Intelligence, Knowledge Graphs, and Security for AI
Models. He has published over a hundred research papers, with most of them
in premier journals (TODS, VLDB J, and TKDE) and conferences (SIGMOD,
VLDB, ICDE, WWW, IJCAI, AAAI, ACL). He is currently an Associate Editor of
IEEE Transactions on Knowledge and Data Engineering (TKDE), and program
committee members in various first-tier conferences (SIGMOD, VLDB, ICDE,
SIGIR, SIGKDD, WSDM, etc.).

More details can be found on his homepage at:
https://www.cse.unsw.edu.au/~weiw/