Remember, I said this paper felt core to my research agenda. A blatant rejection caused me to (incorrectly) generalize the feeling that my entire research agenda was misguided. For reasons, I was pretty career anxious at that time, and truly distraught (ask my wife). 11/n
ETHICS
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Three Paper Rejections: A Crushing Academic Experience in AI Research
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Apparently, wrong: we got THREE of these. Clear reject, with high confidence. I couldn't bring myself to read the reviews for a week.I can't describe how crushing this rejection was. (Spring 2023) 10/n
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Peer Review Frustration: Vague Stylistic Critique in Major Revision
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This was *incredibly* frustrating. Usually major revisions feature specific and technical critiques. It was rejected for a vague and stylistic critique. This is the closest I've come to emailing a PC chair in frustration, but I held my tongue (it's not their fault). 7/n
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Academic Paper Rejection: Vague Revision Requests Frustrate Researchers
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We were given a major revision. Requested changes were vague: "tighten" the writing. Clarify differences with prior work. Make points clearer. I honestly thought it was fine before on all counts, but OK, we honestly tried more. Nope. Not good enough, reject. (late 2022) 6/n
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Public Data for Private ML: Differential Privacy Research Agenda
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Personally, I have been super interested in public data for private ML. I honestly think this is the future of DP deployments. So this paper felt *super* core to my entire research agenda: how exactly we think we, as a field, should push forward. 4/n
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Critical Position Paper Submitted to Topical Conference
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Florian had some convos with others on this topic, including Nicholas. We saw a topical conference with a call for position papers. We decided to write and submit a critical piece (self-critical of some of our previous works as well!) 3/n
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Privacy Challenges in Public Data for Machine Learning
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This work started through some conversations with Florian (Summer 2022). We noticed that while public data was *really* helpful in private ML, weird things happened. An arms race of larger "public" datasets. Evaluating on datasets that didn't have much to do with privacy. Etc 2/n
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Differential Privacy in Large-Scale AI Pretraining Wins ICML Award
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"Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining," with @florian_tramer & Nicholas Carlini got an #ICML2024 best paper award! https://
x.com/thegautamkamat
h/status/1603383883126669312
… : the personal side of this research, emotional high & lows, & more 1/n -
Multimodal AI Capabilities and Industry Lobbying Tactics Examined
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Probably, they don't seem multimodal. I'd take these official complaints with a grain of salt too. It's also part of their lobbying efforts.
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India’s Role in AI Safety, Trust, and Governance Framework
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During the recent Global IndiaAI Summit, the session "Ensuring Safety, Trust, and Governance in the age of AI" explored India's role and contribution in international forums and deliberated on balancing technological innovation with governance to protect citizens.