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Antti Honkela

@ahonkela.bsky.social
836 followers 136 following 7 posts

Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.

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Reposted by Antti Honkela
Rasmus Pagh @rasmuspagh.net · 11/05/2026
Join us June 11-12 for a workshop on Differential Privacy and Unlearning in Machine Learning at University of Copenhagen! The workshop will feature tutorials, three great invited speakers (@grahamrc.bsky.social, @ahonkela.bsky.social and @koloskova.bsky.social), as well as contributed talks.
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Bogdan Kulynych @bogdankulynych.bsky.social · 23/03/2026
A Gaussian mechanism with ε = 6 can be less private than one with ε = 8. This points to a problem with how we report privacy guarantees in machine learning. A thread 🧵
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Antti Honkela @ahonkela.bsky.social · 15/01/2026
Interesting "Truly private AI" that seems like the first to deliver that, up to what current technology enables. (Yes, you have to trust the opaque magic of Trusted Execution Environments, but it is hard to see how to realistically avoid that for now.) confer.to
confer.to
Confer
Confer - Private AI
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Reposted by Antti Honkela
ELLIS @ellis.eu · 13/01/2026
📣 Call for posters for @elsa-ai.eu TrustworthyAI4Health Workshop co-located w/ @embl.org AI & Biology Conference, on topics that advance reliable, clinically aligned AI systems across diverse data modalities and healthcare environments. 📅 Mar 9 📍 Heidelberg 🇩🇪 🔗 bit.ly/4pEK3OK #EESAIBio
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Antti Honkela @ahonkela.bsky.social · 13/01/2026
ELLIS Institute Finland @ellisinstitute.fi has an open call for postdocs (DL 9 Feb) www.ellisinstitute.fi/postdoc-recr... There are 45 PIs with different topics to choose from, including privacy in machine learning with me!
ellisinstitute.fi
Postdoc positions at ELLIS Institute Finland | ELLIS Institute Finland
Call for postdoctoral researchers in artificial intelligence and machine learning
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Reposted by Antti Honkela
ELLIS Institute Finland @ellisinstitute.fi · 12/12/2025
1 month until deadline! Join us to build your own lab in AI + machine learning research. World-class resources incl. @lumi-supercomputer.eu, generous starting package & professorship affiliation with a university in the world’s happiest country! ➡️ www.ellisinstitute.fi/PI-recruit-2... #hiring
Text: We're hiring! Principal Investigators in artificial intelligence and machine learning research.
Below: ELLIS Institute Finland logo
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ELSA – European Lighthouse on Secure and Safe AI @elsa-ai.eu · 10/12/2025
ELSA Board member @ahonkela.bsky.social contributed to the paper"Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning",presented at @neuripsconf.bsky.social'25 Article ➡️ www.helsinki.fi/en/faculty-s... #MachineLearning #DifferentialPrivacy #PrivacyGuarantees
helsinki.fi
How to ensure anonymity of AI systems? | Faculty of Science | University of Helsinki
When training artificial intelligence systems, developers need to use privacy-enhancing technologies to ensure that the subjects of the training data are not exposed, new study suggests.
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Antti Honkela @ahonkela.bsky.social · 11/09/2025
@iclr-conf.bsky.social regarding your LLM policy, can you please confirm that one does not need to have an LLM usage section in the main body of the paper if LLMs did not play a significant role as defined here?
Extract of ICLR LLM use policy with the following text highlighted: "However, new this year, if LLMs played a significant role in research ideation and/or writing to the extent that they could be regarded as a contributor, then authors should describe the precise role of the LLM in the main body of the paper in a separate section on LLM usage."
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ELSA – European Lighthouse on Secure and Safe AI @elsa-ai.eu · 01/08/2025
Happy to share the recap of the #health #privacy #session at #CAMDA2025 by our amazing team! elsa-ai.eu/the-health-p... #ELSAAI #research #challenge #safeandsecure #AI
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Differential Privacy Papers @dppapers.bsky.social · 17/03/2025
$( varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees Juan Felipe Gomez, Bogdan Kulynych, Georgios Kaissis, Jamie Hayes, Borja Balle, Antti Honkela arxiv.org/abs/2503.10945
$( varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees
Juan Felipe Gomez, Bogdan Kulynych, Georgios Kaissis, Jamie Hayes, Borja Balle, Antti Honkela
http://arxiv.org/abs/2503.10945
Current practices for reporting the level of differential privacy (DP)
guarantees for machine learning (ML) algorithms provide an incomplete and
potentially misleading picture of the guarantees and make it difficult to
compare privacy levels across different settings. We argue for using Gaussian
differential privacy (GDP) as the primary means of communicating DP guarantees
in ML, with the full privacy profile as a secondary option in case GDP is too
inaccurate. Unlike other widely used alternatives, GDP has only one parameter,
which ensures easy comparability of guarantees, and it can accurately capture
the full privacy profile of many important ML applications. To support our
claims, we investigate the privacy profiles of state-of-the-art DP large-scale
image classification, and the TopDown algorithm for the U.S. Decennial Census,
observing that GDP fits the profiles remarkably well in all three cases.
Although GDP is ideal for reporting the final guarantees, other formalisms
(e.g., privacy loss random variables) are needed for accurate privacy
accounting. We show that such intermediate representations can be efficiently
converted to GDP with minimal loss in tightness.
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Reposted by Antti Honkela
Stegle Lab @steglelab.bsky.social · 27/02/2025
⏰ A quick reminder that Track I of the Health Privacy Challenge is still running strong, exploring privacy preservation in bulk RNA-seq datasets! We’re excited to see the innovative solutions Blue Teams and Red Teams will bring to the competition! #🫐🍅 #CAMDAConference #ISMB/ECCB2025
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Stegle Lab @steglelab.bsky.social · 27/02/2025
Exciting News! 🚀 We’re pleased to launch Track II of the Health Privacy Challenge 🫐🍅, focused on single-cell data! We invite the participants to explore the privacy and utility of synthetic single-cell RNA-seq data! #CAMDAConference Register to participate: benchmarks.elsa-ai.eu?ch=4
benchmarks.elsa-ai.eu
Overview - Health - ELSA Benchmarks Platform
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ELLIS Institute Finland @ellisinstitute.fi · 24/02/2025
Call for Principal Investigators in #machinelearning & #artificialintelligence closes in 2 weeks! Why apply? - Professorship affiliation at universities in Finland - Research infrastructure incl. @lumi-supercomputer.eu - Generous startup package - @ellis.eu network ➡️ www.ellisinstitute.fi/PI-recruit
ellisinstitute.fi
Principal Investigator positions at ELLIS Institute Finland | ELLIS Institute Finland
Now recruiting new PIs in artificial intelligence and machine learning
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Reposted by Antti Honkela
Samuel Kaski @samikaski.bsky.social · 04/02/2025
I have big news: @ellis.eu has launched its 2nd major research center, @ellisfinland.bsky.social! I have agreed to start as founding director & the first call for PI positions is open. This is a major opportunity for outstanding researchers, join us! ellisinstitute.fi/PI-recruit
ellisinstitute.fi
Principal Investigator positions at ELLIS Institute Finland | ELLIS Institute Finland
Now recruiting new PIs in artificial intelligence and machine learning
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Luigi Acerbi @lacerbi.bsky.social · 28/01/2025
1/ 🎉 We launched the *Helsinki Probabilistic Machine Learning Lab*, which combines multiple research groups at @univhelsinkics.bsky.social - and part of FCAI and ELLIS - working on, guess what, Probabilistic ML and AI. And we are hiring! Please repost! Website: www.helsinki.fi/probabilisti...
Helsinki Probabilistic Machine Learning Lab
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Reposted by Antti Honkela
Helsinki Institute for Information Technology @icthiit.bsky.social · 27/01/2025
Less than a week left to apply. Come join us @csaalto.bsky.social or @univhelsinkics.bsky.social #postdocjobs #ai #artificialintelligence #datascience #postdoc #algorithms #cybersecurity
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Antti Honkela @ahonkela.bsky.social · 15/01/2025
Very interesting challenge on privacy of synthetic data organised together with @steglelab.bsky.social and other ELSA project partners. Please spread the word!
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Maike Osborne @maosbot.bsky.social · 24/11/2024
I have seen some anti-peer-review takes on here, and, believe me, I understand the frustrations, but I would urge caution before doing or publicly saying anything too drastic. We live in age rife with misinformation and anti-intellectualism—not everyone wants academia to survive
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Antti Honkela @ahonkela.bsky.social · 26/11/2023
Open letter: European AI researchers are worried that including research and open source in foundation model regulation in the AI Act could kill frontier AI research in Europe. docs.google.com/document/d/1...
docs.google.com
Open Letter on Regulation of Foundation Models in the AI Act and Research
Open Letter on Regulation of Foundation Models in the AI Act and Research If you are a machine learning or AI researcher with at least a PhD and wish to sign the letter, please fill in this form: http...
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