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    Thomas Brunner
    @ttbrunner
    This effect occurs from time to time, but it's not always visible in such an obviously semantic way. We could argue that it's not a "real" adversarial example, because the human might be confused as well!
    Taesung Lee
    @notafight_twitter
    I had a lot of RETRIES_EXCEEDED errors during the submission when they worked well locally. I still want to see what was the problem. Can I get the logs? @ffledgling
    It regards this submission: https://gitlab.crowdai.org/tedlee/nips18-avc-model-template/issues/19
    Taesung Lee
    @notafight_twitter
    I also wonder if I can see the logs for https://gitlab.crowdai.org/tedlee/nips18-avc-model-template/issues/15 too.
    Anhad Jai Singh
    @ffledgling
    @notafight_twitter sure
    For the first one, issue 19, it looks like your model just took too long to initialize
    The second one is a successful submission, so I don't quite have the logs for that unfortunately
    Taesung Lee
    @notafight_twitter
    OK. Thank you for your help.
    Taesung Lee
    @notafight_twitter
    @ffledgling For https://gitlab.crowdai.org/tedlee/nips18-avc-model-template/issues/19, I see total time is only 18.29 seconds, when the time limit is 100s. Do you have any idea?
    Wieland Brendel
    @wielandbrendel
    Dear all, we determined the top-3 entries in each track and have just released the results at https://medium.com/bethgelab/results-of-the-nips-adversarial-vision-challenge-2018-e1e21b690149
    Congratulations to all winners!
    We will release an updated leaderboard with the placement of all submissions in the next week
    If you are coming to NIPS and would like to present a poster at our workshop, please send your team ID together with a short abstract to wieland.brendel@bethgelab.org
    Wieland Brendel
    @wielandbrendel
    Thanks to everyone for making this competition an exciting adventure!
    Lars Holdijk
    @LarsHoldijk
    Congratulations to all the winners, I look forward to reading about your defence and attack strategies. Also, a huge thank you to the organizers, it is amazing how you kept the competition running with this much participants and submissions. Hopefully, till next year!
    Thomas Brunner
    @ttbrunner
    Congratulations to everyone, and thanks for hosting this cool competition! Thanks also to the crowdAI team - after this stress test you're probably well prepared to hold the next one ;)
    Looking forward to NIPS!
    SVQA-founder
    @SVQA-founder_gitlab
    Looking forward to reading top solutions of each track. At the same time, I hope organizers announce the final results of all teams soon.
    Shuyu Cheng
    @csy530216
    Just a reminder: I am looking forward to the updated leaderboard;) @wielandbrendel
    walegahaha
    @walegahaha
    When will the organizers update the leaderboard :(
    SP Mohanty
    @spMohanty
    @walegahaha : Hopefully tomorrow :angel: !
    @MasterScrat is point on that one ;)
    Florian
    @MasterScrat
    almost there!
    Lars Holdijk
    @LarsHoldijk
    The final results in the leaderboard is not showing up correctly for me.
    SP Mohanty
    @spMohanty
    @LarsHoldijk : its not updated yet
    Shuyu Cheng
    @csy530216
    How about the progress of leaderboard update now ;)
    SP Mohanty
    @spMohanty
    Leaderboard updated ;)
    @MasterScrat : Can you confirm if the data updated on the leaderboard is indeed the latest version : and then change the round name from tentative to final :D
    Shuyu Cheng
    @csy530216
    Thanks for your hard work!
    By the way, is the leaderborad in targeted attack track not updated yet?
    Thomas Brunner
    @ttbrunner
    Wow, these numbers are low. I guess it's super hard to be robust against untargeted attacks. This dataset was quite unforgiving!
    SP Mohanty
    @spMohanty
    @csy530216 : It is now.
    wahaha123
    @wahaha123_gitlab
    @spMohanty Thank you for your hard work!
    Florian
    @MasterScrat
    Some of the Robust Model Track submissions were missing
    The leaderboards are now final!
    Thomas Brunner
    @ttbrunner
    Thanks! Looking forward to the presentations.
    Kyungyul Kim
    @kyungyul.kim88_gitlab
    @MasterScrat Could you check the score
    Florian
    @MasterScrat
    @kyungyul.kim88_gitlab are you noticing any problem?
    Kyungyul Kim
    @kyungyul.kim88_gitlab
    @MasterScrat please check and remove the qualified participant score on round1 leaderboard for clearing it.(zhou-liang)
    @MasterScrat
    @MasterScrat Thank you for your hard work.! :)
    erfect
    @erfect_gitlab
    emmm,My team disappear in the final score(zhou-liang),Why?
    https://gitlab.crowdai.org/zhou-liang/resnet_avc/issues/40
    Could this be restarted
    Shuyu Cheng
    @csy530216
    Hi~ Could anyone in the defense side provide your code (make the gitlab repo public)? I want to visualize the difference of gradient of standard models and adversarially robust models, but the result of the resnet50_alp baseline seems a bit strange;)
    Luiz Gustavo Hafemann
    @luizgh
    You can find our trained models (entry JeromeR, 3rd place in defense) here: https://github.com/luizgh/avc_nips_2018/blob/master/README.rst
    Thomas Brunner
    @ttbrunner
    Hi, who else is atttending NeurIPS right now? Let's meet up during the coffee break!
    Shuyu Cheng
    @csy530216
    I am:) Where are you?
    Thank you very much! @luizgh
    By the way, my untargeted attack code is here:
    https://gitlab.crowdai.org/csy530216/nips18-avc-attack-template
    jiaying.lu
    @lujiaying
    Hi guys, may I know where I can find slides or open-source resource about leading-board of this challenge?
    Thomas Brunner
    @ttbrunner
    @lujiaying there will be a publication with the results of the challenge (soon-ish). Also, most participants' code will be made public.