Nicolas Papernot

@NicolasPapernot

Researching the Security and Privacy of Machine Learning . Co-author of . and alumnus

Toronto, Canada
Vrijeme pridruživanja: kolovoz 2010.

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  1. Prikvačeni tweet
    7. sij

    The call for papers is up for our ICLR workshop on trustworthy machine learning: Submission deadline: Jan 31, 2020 AoE Looking forward to your papers! cc

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  2. proslijedio/la je Tweet
    29. sij

    Machine Unlearning “Once users have shared their data online, it is difficult to revoke access and ask for the data to be deleted. ML exacerbates this problem because any model trained with said data may have memorized it, putting users' privacy at risk.”

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  3. 3. velj

    We’ve extended the deadline for our ICLR workshop on trustworthy ML to February 12th AoE. The CFP is below. Cc

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  4. 30. sij

    The deadline for our ICLR workshop on trustworthy ML is coming soon on the 31st. Looking forward to your submissions on security, privacy, and other aspects of trustworthy ML! Cc ⁦⁩ ⁦⁩ ⁦

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  5. 28. sij

    Amazing live tweeting from at ! Thanks Lea. This is a great snapshot of the talk :)

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  6. proslijedio/la je Tweet
    24. sij

    Enigma 2020 is next week! Hear of present "What does it mean for machine learning to be trustworthy?" There’s still time to register:

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  7. 23. sij

    Excited to hear from our confirmed speakers Seeta Peña Gangadharan at our upcoming ICLR workshop on trustworthy ML! Submit your work and join us on April 26 in Addis Ababa: Deadline Jan 31 AoE

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  8. 21. sij

    Submissions to our ICLR workshop on trustworthy ML are now accepted! Details on the call for papers and way to submit can be found on the website: Deadline: Jan 31 AoE

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  9. proslijedio/la je Tweet
    7. sij

    The call for papers is up for our ICLR workshop on trustworthy machine learning: Submission deadline: Jan 31, 2020 AoE Looking forward to your papers! cc

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  10. proslijedio/la je Tweet
    27. pro 2019.
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  11. 4. sij

    I would request that explain the reasons that lead to visas being regularly denied. We should explore how we can work together to ensure a smoother and more just process going forward. cc

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  12. 4. sij

    This recurring issue has the potential to interfere with our ability to attract top talent and to showcase Canada’s innovation. World-leading researchers and promising young students are being denied entry to Canada.

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  13. 4. sij

    Despite providing all of the required supporting documents, one of my visiting students from India was denied a visa to Canada because the official was not satisfied they would leave at the end of their stay.

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  14. 18. pro 2019.

    These positions are all co-located and

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  15. 18. pro 2019.

    I have multiple open positions for graduate students, visiting students, and postdocs to work on security & privacy of machine learning. Reach out if you are interested or know someone that I should contact!

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  16. proslijedio/la je Tweet
    16. pro 2019.

    "Once users have shared their data online, it is generally difficult for them to revoke access and ask for the data to be deleted. Machine learning (ML) exacerbates this problem" --> Interesting approaches to Machine "Unlearning" by et al.

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  17. 12. pro 2019.

    This thread demonstrates the clarity that consistently achieves when explaining research ideas. If you're considering grad school, you should consider applying to work with him!

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  18. 3. pro 2019.

    We will send invites for the PC shortly, to prepare for the CFP. If you know members of the research community (in particular from underrepresented groups) that we should keep in mind when preparing our invite list, feel free to reach out to me by email

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  19. 3. pro 2019.

    I am co-organizing a workshop with Nicholas Carlini and at ICLR 2020. The theme will be around trustworthy ML, more information is available on our (preliminary) website:

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  20. 25. stu 2019.

    We also had a class about fairness, ethics, and law in ML. Slides are available here:

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