Awesome meeting Huzaifa! He did some really interesting work showing that model reprogramming can sometimes perform fine tuning for private ML. Check it out: https://
x.com/NicolasPaperno
t/status/1624118654278172692
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@thegautamkamath
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Model Reprogramming for Private Machine Learning
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Privacy Attacks on Split and Federated Learning Methods
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Very nice to see this work by @sanjayatwork and @mointweets. It's always great to see attacks against methods that are only "intuitively" privacy preserving, like split learning and federated learning (without differential privacy on top). https://
x.com/NicolasPaperno
/NicolasPapernot/status/1624108058702905360
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Secure Neural Networks Method Shows Promise
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Sorry that you were unable to attend. I got a chance to talk to Karthik and hear about your work. It seems like a really promising method for secure NNs. Hope our paths cross in the future.
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Differential Privacy Tutorial at SATML Conference
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Thanks Nicolas for the invitation! @satml_conf is a fantastic new initiative. This tutorial was a lot of fun to give. The video will be online soon. I may also record and release my own version, so that I don't have to leave out my favorite algorithm in differential privacy. https://
x.com/NicolasPaperno
/NicolasPapernot/status/1624048613318971392
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Adversarial Robustness: Fundamental Problem Underpinning AI Safety
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I sadly missed @zicokolter
's talk, but I really vibed w/ one of his punchlines he shared w/ me today: adversarial robustness may be a basic and toy problem, but we still haven't solved it. Inability to do this indicates gaps in our knowledge, which underlie more complex settings. https://
x.com/NicolasPaperno
/NicolasPapernot/status/1623324869000667137
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Timnit Gebru Keynote at SATML Conference
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This is bound to be interesting. Keynote talk by @timnitGebru starting now at @satml_conf
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Best Paper Award at SaTML Conference
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Congrats to the whole gang on winning best paper at SaTML! Check it out here: https://
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Nicolas Papernot at SaTML Conference on Trustworthy Machine Learning
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I'll be at SaTML Thursday and Friday (sadly missing Day 1 today). Looking forward to a conference focused entirely on trustworthy ML! Please find me and say hi if you're around. @satml_conf https://
x.com/NicolasPaperno
/NicolasPapernot/status/1613579758792572928
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ICML 2022 Paper on Robustness in Machine Learning Research
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This seems like cool work! I'm a big fan of problems related to robustness. Have you seen this paper by #ICML2022 paper by @andrew_ilyas @smsampark @logan_engstrom @gpoleclerc @aleks_madry
? Covers a similar problem. https://
arxiv.org/abs/2202.00622 -
Efficient Private Mean Estimation Research Presented at Georgia Tech
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Thanks so much to @PVanHentenryck for hosting me at @GeorgiaTech
's @Ai4Opt
, one of their three @AIINSTITUTES
. I gave a talk on efficient private mean estimation, a #STOC2022 paper with @Samuel_BKH @mahbodm_
, check out the recording: https://
youtube.com/watch?v=gXmijL
3o8SI
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