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SUMMARY:Backdoors in Machine Learning Models - Dr Ilia Shumailov - Christ 
 Church\, University of Oxford
DTSTART:20230301T150500Z
DTEND:20230301T155500Z
UID:TALK197044@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:Machine Learning (ML) is now omnipresent in our computer syste
 ms. Downloading and running ML models is practically trivial and requires 
 little knowledge of their internals. Yet\, should we be even using these m
 odels to make important decisions? Is there any hidden functionality insid
 e of them? Is it hard to inject deterministic behaviours into ML? Are ther
 e methods to uncover this hidden functionality? In this talk I survey the 
 Backdoor/Poisoning literature in the field of machine learning\; I then co
 nnect it to the field of Computer Security and draw parallels to Cryptogra
 phy\; finally\, I identify direction of future research and hypothesise wh
 at form practical backdoors will take in the future. \n\nBio: \n\nIlia Shu
 mailov holds a PhD in Computer Science from University of Cambridge\, spec
 ialising in Machine Learning and Computer Security. During the PhD under t
 he supervision of Prof Ross Anderson Ilia worked on a number of projects s
 panning the fields of machine learning security\, cybercrime analysis and 
 signal processing. Following the PhD\, Ilia joined Vector Institute in Can
 ada as a Postdoctoral Fellow\, where he worked under the supervision of Pr
 of Nicolas Papernot and Prof Kassem Fawaz. Ilia is currently a Junior Rese
 arch Fellow at Christ Church\, University of Oxford and a member of the Ox
 ford Applied and Theoretical Machine Learning Group with Prof Yarin Gal.\n
 \n\nLink to join virtually: https://zoom.us/j/98901725392?pwd=UWNVZVFTcVQx
 L2JkS0V1WVBoelBuUT09\n\nA recording of this talk is available at the follo
 wing link: https://www.cl.cam.ac.uk/seminars/wednesday/video/
LOCATION:Lecture Theatre 1\, Computer Laboratory\, William Gates Building
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