Most have been instance-specific, e.g., here's a particular robust estimator, let's privatize it. Some have proposed broader frameworks, e.g., https://
arxiv.org/abs/2111.06578 by Liu, Kong and @sewoong79
, or https://
arxiv.org/abs/2112.03548 by @praveshkkothari @pasin30055 @ameya_pa 5/n
@thegautamkamath
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Differential Privacy Frameworks for Robust Statistical Estimators
By
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Formalizing Robustness and Privacy in Algorithm Design
By
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Intuitively, robustness and privacy of an algorithm are closely related: they both say the algorithm should be somehow insensitive to changing a small amount of the dataset. Formalizing connections between the two has proven to be a bit trickier. 3/n
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Private Estimators Framework: Dwork and Lei’s 2009 Breakthrough
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This direction was kicked off by Dwork and Lei in 2009, who gave a framework for designing private estimators, which works especially well given robust ones (
https://
stat.cmu.edu/~jinglei/dl09.
pdf
…). But in just the last 2-3 years, there's been a lot more interest in finding connections. 4/n -
Robustness Implies Privacy in Statistical Estimation
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New paper with @Samuel_BKH
, @mahbodm_
, and Shyam Narayanan: "Robustness Implies Privacy in Statistical Estimation." A robust estimator can be (black-box) converted to a private estimator, often optimally. https://
arxiv.org/abs/2212.05015 1/n -
Peer Review Ensures Knowledge Dissemination in Academic Papers
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It helps with dissemination of knowledge by ensuring that every written paper is read by at least one other person, the reviewer.
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Beyond Metrics: Evaluating Research Quality in AI
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Worth repeating. If the only positive things you can say about a researcher is that they have many papers or citations, then either:
a) you don't know their work very well
b) they haven't done much interesting work
I always push for justification of quality beyond metrics. -
Elon’s Twitter overhaul shows change despite ongoing chaos
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Elon Twitter feels like a constant dumpster fire, but it's undeniable that *something* is happening. The old Twitter felt stagnant and like nothing got done (…except NFT profile pics). Remember when they said academics would get verification "later in 2021"?
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ICML2023 LLM Detection Policy False Positives Analysis
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Bringing it back to our community, I wonder how many false positives (and false negatives!) there will be for #ICML2023's ban on LLM-generated text
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AI Art Ban Mistakenly Deletes Human-Made Artwork on Reddit
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The r/Art subreddit recently banned AI-generated art. Ben Moran (
@benmoran_artist
) posted his (impressive and human-made) art there, which was deleted for… looking too AI-like? -
Security Paper Review Process Demands Increased Burden Reviewers
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Besides the fact Im getting older, some reasons last year was more tiring:
– security papers are long! 13 two-column pages (vs 8 in ML)
– also, their revision process requires more commitment from reviewers
– more generally, labour expected from reviewers per paper is on the rise