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nice place and i work on detecting unusual obstacles
in traffic images in order to improve the safety of
set of driving cars uh let's say our car 'cause it come or how does it know what it sees
common approach is to assign label every peak so the pet pixels belong to
the route between once the trees and the dark it was to the cox
this is called semantic segmentation it is often done made you run networks
they are very you they work very well but
they require many traded examples thousands of images don't labels
we had those examples for common classes such as people cars buildings rolls
and so on however when we encounter red objects such as an aimless
or last cargo which the network is never seen training
it fails to notice the objects or produces nonsense outputs
i want to take these cases and usually working the ten unknown objects press it's
my approach is to reconstruct the image from the labels
then i found find how it differs from the original image
if an object is incorrectly they but it will not look to send reconstruction
these differences show us what the labels are wrong
here is an example we some laws boxes i hope this work will improve the safety of sort
of driving cars as well as the tact interesting training cases for other are great it's thank you

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Conference Program

Welcome address
Martin Vetterli, President of EPFL
6 June 2019 · 9:48 a.m.
James Larus, Dean of IC School, EPFL
6 June 2019 · 9:58 a.m.
Jean-Pierre Hubaux, IC Research Day co-chair
6 June 2019 · 10:07 a.m.
Adventures in electronic voting research
Dan Wallach, Professor at Rice University, Houston, USA
6 June 2019 · 10:14 a.m.
When foes are friends: adversarial examples as protective technologies
Carmela Troncoso, Assistant Professor at EPFL
6 June 2019 · 11:09 a.m.
Low-Latency Metadata Protection for Organizational Networks
Ludovic Barman, LCA1|DeDiS, EPFL
6 June 2019 · noon
Interactive comparison-based search, and
Daniyar Chumbalov, INDY 1, EPFL
6 June 2019 · 12:06 p.m.
Decentralized, Secure and Verifiable Data Sharing
David Froelicher, LCA1|DeDiS, EPFL
6 June 2019 · 12:09 p.m.
Communication Efficient Decentralised Machine Learning
Anastasia Koloskova, MLO, EPFL
6 June 2019 · 12:11 p.m.
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis, CVLab, EPFL
6 June 2019 · 12:14 p.m.
Sublinear Algorithms for Graph Processing
Aida Mousavifar, THL4, EPFL
6 June 2019 · 12:16 p.m.
Protecting the Metadata of Your Secret Messages
Kirill Nikitin, DEDIS, EPFL
6 June 2019 · 12:18 p.m.
Teaching a machine learning algorithm faster
Farnood Salehi, INDY 2, EPFL
6 June 2019 · 12:21 p.m.
Secure Microarchitectural Design
Atri Bhattacharyya, PARSA/HexHive, EPFL
6 June 2019 · 12:23 p.m.
Security testing hard to reach code
Mathias Payer, Assistant Professor at EPFL
6 June 2019 · 1:50 p.m.
Best Research Presentation Award Ceremony
Bryan Ford, Jean-Pierre Hubaux, Deirdre Rochat, EPFL
6 June 2019 · 3:54 p.m.