Conference on Secure and Trustworthy Machine Learning

Conference on Secure and Trustworthy Machine Learning

@satml.org

IEEE Conference on Secure and Trustworthy Machine Learning May 2027 (Reykjavik, Iceland) • #SaTML2027

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Conference on Secure and Trustworthy Machine Learning

Check out the 1st Workshop on Incentives and Contribution Evaluation (WICE 2027), one of the #SaTML2027 workshops! Trying to understand the following question in collaborative learning: is it worth it to participate? Submission deadline: December 18 wice-satml.github.io

Conference on Secure and Trustworthy Machine Learning

Announcing: the #SaTML2027 competitions and workshops! We have an amazing lineup of two competitions and four workshops. The workshops will be on May 3, ahead of the conference that runs May 3-6 in Reykjavik, Iceland. Read on to learn more about the competitions and workshops!

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Conference on Secure and Trustworthy Machine Learning

More details on the website: satml.org/competitions/ satml.org/workshops/ Please check them out! We look forward to your participation in the competitions, workshops, and the main program itself.

satml.org IEEE SaTML 2027 · Competitions

Conference on Secure and Trustworthy Machine Learning

CC some organizers: @cyrilgorlla.bsky.social @hkscy.bsky.social @isaacsst.bsky.social @sanmikoyejo.bsky.social @jaronmink.bsky.social @profericwong.bsky.social @darpsky.bsky.social

Conference on Secure and Trustworthy Machine Learning

Announcing: the #SaTML2027 competitions and workshops! We have an amazing lineup of two competitions and four workshops. The workshops will be on May 3, ahead of the conference that runs May 3-6 in Reykjavik, Iceland. Read on to learn more about the competitions and workshops!

View full thread

Conference on Secure and Trustworthy Machine Learning

3. WICE: Workshop on Incentives and Contribution Evaluation. Exploring contribution evaluation and incentives in collaborative learning settings. wice-satml.github.io

wice-satml.github.ioWICE-SaTML homepageWorkshop information, call for papers, and important dates for WICE, co-located with SaTML 2027.

Conference on Secure and Trustworthy Machine Learning

4. TrustTFM: Trustworthiness of Tabular Foundation Models (TFMs). Tabular data is ubiquitous, and regulations make trustworthiness essential: robustness, security, privacy, explainability, fairness, and compliance risks. karimtito.github.io/trusttfm-2027/

karimtito.github.ioOverview · TrustTFM @ SaTML 2027The first workshop on Trustworthiness of Tabular Foundation Models at IEEE SaTML 2027 in Reykjavik, Iceland.

Conference on Secure and Trustworthy Machine Learning

Announcing: the #SaTML2027 competitions and workshops! We have an amazing lineup of two competitions and four workshops. The workshops will be on May 3, ahead of the conference that runs May 3-6 in Reykjavik, Iceland. Read on to learn more about the competitions and workshops!

View full thread

Conference on Secure and Trustworthy Machine Learning

#SaTML2027 also has four workshops: 1. New AdvML-Frontiers: Human Centered Trustworthy Machine Learning. Focused on understanding which risks lead to real-world harm or which protections are truly needed. advml-frontier.github.io/satml2027/

advml-frontier.github.ioHuman-Centered Trustworthy Machine Learning @ SaTML 2027An interdisciplinary workshop on human-centered research for trustworthy machine learning.

Conference on Secure and Trustworthy Machine Learning

2. MIRROR: Meta-science in AI Security Research. How can our community conduct more reliable & reproducible research? Looking in 3 dir: backwards (where past research goes wrong), forwards (good research practices), inwards (how do LLMs affect research?) mirror-workshop.io

mirror-workshop.ioMIRROR 2027 · Meta-Science in AI Security ResearchA half-day workshop at IEEE SaTML 2027 on how we do AI security research, and how to do it better. Call for lightning talks open.

Conference on Secure and Trustworthy Machine Learning

Announcing: the #SaTML2027 competitions and workshops! We have an amazing lineup of two competitions and four workshops. The workshops will be on May 3, ahead of the conference that runs May 3-6 in Reykjavik, Iceland. Read on to learn more about the competitions and workshops!

Conference on Secure and Trustworthy Machine Learning

#SaTML2027 will have two competitions: 1. LatentArena: tests representation-level safety monitors. An ensemble of monitors covers a variety of harmful-behaviour categories. Two phases, first infer monitor behaviour, then try to evade it. Website forthcoming.

Conference on Secure and Trustworthy Machine Learning

2. Ravensport: How much warning can ML give before a cyberattack? Can an agent mitigate attacks without disrupting operations? Participants monitor and defend a realistic infrastructure as multi-stage attacks unfold. github.com/alan-turing-...

github.comGitHub - alan-turing-institute/Ravensport-Competition: Ravensport competition for SatML 2027: Actionable Detection and Autonomous Mitigation in CNIRavensport competition for SatML 2027: Actionable Detection and Autonomous Mitigation in CNI - alan-turing-institute/Ravensport-Competition

Conference on Secure and Trustworthy Machine Learning

The submission server for #SaTML2027 is now open! There are also some changes to the Call for Papers, diffs are indicated on the website. Dates: Mandatory abstract deadline: Sep 22 Paper deadline: Sep 29 satml.org

Conference on Secure and Trustworthy Machine Learning

Note that the abstract deadline is before the notifications for some adjacent conferences (e.g., NeurIPS 2026). Registering an abstract for a submitted paper is allowed, as long as the full paper is not submitted.

Conference on Secure and Trustworthy Machine Learning

In other words: If the paper is already under review elsewhere, authors may still register the abstract at SaTML, but they must not submit the full paper unless that other submission has been resolved (rejected or withdrawn) by the SaTML paper submission deadline.

Conference on Secure and Trustworthy Machine Learning

The Call for Papers for #SaTML2027 is released! Deadlines: Abstract - Sep 22 Paper - Sep 29 Decisions - Dec 16 New this year: abstract deadline, initial review & ACs, mandatory artifact submission, planning for growth in submissions, etc. Full details: satml.org/call-for-pap...

Conference on Secure and Trustworthy Machine Learning

Note: the conference is in May. It will (probably) not be as snowy as it is in the picture.

Conference on Secure and Trustworthy Machine Learning

Reminder: #SaTML2027 has a Call for Competitions and Workshops! Both are due one week from today (August 28). Please submit your proposals and join us in beautiful Reykjavik! satml.org/call-for-com... satml.org/call-for-wor...

Conference on Secure and Trustworthy Machine Learning

On top of our Call for Papers, #SaTML2027 has a Call for Competitions and a Call for Workshops (first time ever!!). Dates (easy to remember, same for both) Deadline: August 28, 2026 Notifications: September 18, 2026 Topics can be anything in trustworthy and secure ML!

Conference on Secure and Trustworthy Machine Learning

Call for... Competitions: satml.org/call-for-com... Workshops: satml.org/call-for-wor... And ICYMI, Papers (deadline September 29): satml.org/call-for-pap... CC PC chairs Florian Tramer @fbpierazzi.bsky.social

satml.org IEEE SaTML 2027 · Call for Competitions

Conference on Secure and Trustworthy Machine Learning

Buried in yesterday's announcement of the location (Reykjavik, Iceland), we have also released Calls for: - Papers (research, position, and SoK), deadline September 29, 2026 - Competitions - Workshops, for the first time ever at SaTML! Check out the wbsite for more info on all! satml.org

Conference on Secure and Trustworthy Machine Learning

We're pleased to announce that #SaTML2027 will be in Reykjavik, Iceland! Thanks to General Chair Giovanni Apruzzese for making the arrangements. The conference will be in early May 2027. Get your submissions ready: the deadline will be September 29, 2026. Details on the new website: satml.org

Conference on Secure and Trustworthy Machine Learning reposted

Conference on Secure and Trustworthy Machine Learning

SaTML is looking for a host for #SaTML2027! If you're interested in bringing SaTML to a city near you, please fill out this form by April 15! 🏘️🏙️🏡🌆 docs.google.com/forms/d/e/1F...

Conference on Secure and Trustworthy Machine Learning

The program chairs for #SaTML2027 will be Fabio Pierazzi (@fbpierazzi.bsky.social) and Florian Tramèr! We're in for a great conference under their leadership.

Conference on Secure and Trustworthy Machine Learning

SaTML is looking for a host for #SaTML2027! If you're interested in bringing SaTML to a city near you, please fill out this form by April 15! 🏘️🏙️🏡🌆 docs.google.com/forms/d/e/1F...

Conference on Secure and Trustworthy Machine Learning

Still no plans for March 2026? How about a pretzel and a beer in Munich 🥨🍺 Registration for SaTML is now open: satml.org/attend/ We have a packed program with papers on secure, private, and fair machine learning. Accepted papers here: satml.org/accepted-pap...

satml.org IEEE SaTML 2026 · Attending the Conference

Conference on Secure and Trustworthy Machine Learning

The accepted papers for SaTML 2026 are now online: satml.org/accepted-pap... Congratulations to all authors 🎉 and many thanks to everyone who submitted their work! This year, we received 233 submissions, of which 55 papers were accepted. A few revisions are still in the pipeline, so stay tuned.

satml.orgsatml.org

Conference on Secure and Trustworthy Machine Learning reposted

Konrad Rieck 🌈

@rieck.mlsec.org

Got some hot research cooking? 🔥 The @satml.org paper deadline is just 9 days away. We are looking forward to your work on security, privacy, and fairness in machine learning. 👉 satml.org/call-for-pap... ⏰ Sep 24

Conference on Secure and Trustworthy Machine Learning reposted

Konrad Rieck 🌈

@rieck.mlsec.org

Three weeks to go until the SaTML 2026 deadline! ⏰ We look forward to your work on security, privacy, and fairness in AI. 🗓️ Deadline: Sept 24, 2025 We have also updated our Call for Papers with a statement on LLM usage, check it out: 👉 satml.org/call-for-pap... @satml.org

Conference on Secure and Trustworthy Machine Learning reposted

Konrad Rieck 🌈

@rieck.mlsec.org

📣 Researchers in AI security, privacy & fairness: It's time to share your latest work! The SaTML 2026 submission site is live 👉 hotcrp.satml.org 🗓️ Deadline: Sept 24, 2025 @satml.org

hotcrp.satml.orgSaTML 2026

Conference on Secure and Trustworthy Machine Learning reposted

Konrad Rieck 🌈

@rieck.mlsec.org

🚨 Got a great idea for an AI + Security competition? @satml.org is now accepting proposals for its Competition Track! Showcase your challenge and engage the community. 👉 satml.org/call-for-com... 🗓️ Deadline: Aug 6

Conference on Secure and Trustworthy Machine Learning reposted

Konrad Rieck 🌈

@rieck.mlsec.org

We’re happy to announce the Call for Competitions for @satml.org The competition track has been a highlight of SaTML, featuring exciting topics and strong participation. If you’d like to host one for SaTML 2026, visit: 👉 satml.org/call-for-com... ⏰ Deadline: Aug 6

Conference on Secure and Trustworthy Machine Learning reposted

Konrad Rieck 🌈

@rieck.mlsec.org

We're excited to announce the Call for Papers for SaTML 2026, the premier conference on secure and trustworthy machine learning @satml.org We seek papers on secure, private, and fair learning algorithms and systems. 👉 satml.org/call-for-pap... ⏰ Deadline: Sept 24

Conference on Secure and Trustworthy Machine Learning

🌍 Help shape the future of SaTML! We are on the hunt for a 2026 host city - and you could lead the way. Submit a bid to become General Chair of the conference: forms.gle/vozsaXjCoPzc...

forms.gleBid to host SaTML 2026Thank you for considering to host SaTML! SaTML has been organized as a 3 day conference so far. We are looking for volunteers interested in finding a venue to host the conference in 2026. By submitti...

Conference on Secure and Trustworthy Machine Learning

🚨 SaTML is searching for its 2026 home! Interested in becoming General Chair and hosting the conference in your city or institution? We’d love to hear from you. Place a bid here: 👉 forms.gle/kbxtwZddpcLD...

forms.gleBid to host SaTML 2026Thank you for considering to host SaTML! SaTML has been organized as a 3 day conference so far. We are looking for volunteers interested in finding a venue to host the conference in 2026. By submitti...

Conference on Secure and Trustworthy Machine Learning

🎤 That’s a wrap on #SaTML25! Huge thanks to the speakers, organizers, reviewers, and everyone who joined the conversation. See you next time!

Conference on Secure and Trustworthy Machine Learning

📏 Wrapping up the talks with deep dives into differential privacy—Session 14 gets technical, from fairness to auditing.

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Conference on Secure and Trustworthy Machine Learning

🧠 Marginals leak. Steven Golob shows how synthetic data built on marginals can still compromise privacy. Paper: arxiv.org/abs/2410.05506 #SaTML25

Conference on Secure and Trustworthy Machine Learning

🔍 How private was that release? @a-h-koskela.bsky.social presents a method for auditing DP guarantees using density estimation. #SaTML25

Conference on Secure and Trustworthy Machine Learning

📏 Wrapping up the talks with deep dives into differential privacy—Session 14 gets technical, from fairness to auditing.

View full thread

Conference on Secure and Trustworthy Machine Learning

🧠 Marginals leak. Steven Golob shows how synthetic data built on marginals can still compromise privacy. Paper: arxiv.org/abs/2410.05506 #SaTML25

Conference on Secure and Trustworthy Machine Learning

🧮 Getting the math right. @matt19234.bsky.social walks through common traps in privacy accounting and how to avoid them. #SaTML25

Conference on Secure and Trustworthy Machine Learning

📏 Wrapping up the talks with deep dives into differential privacy—Session 14 gets technical, from fairness to auditing.

Conference on Secure and Trustworthy Machine Learning

📃🔐 Privacy and fairness? Khang Tran introduces FairDP, enabling fairness certification alongside differential privacy. Paper: arxiv.org/abs/2305.16474 #SaTML25

Conference on Secure and Trustworthy Machine Learning

🕵️‍♂️ From detection to covert messaging—Session 13 explores the gray areas of ML security. #SaTML25

Conference on Secure and Trustworthy Machine Learning

🖼️📡 Hide and seek. Luke Bauer presents a method for covert messaging with provable security via image diffusion. Paper: arxiv.org/abs/2503.10063 #SaTML25

Conference on Secure and Trustworthy Machine Learning

🕵️‍♂️ From detection to covert messaging—Session 13 explores the gray areas of ML security. #SaTML25

Conference on Secure and Trustworthy Machine Learning

💣 Still work to do. Yigitcan Kaya makes the case that ML-based behavioral malware detection is fragile and far from solved. Paper: arxiv.org/abs/2405.06124 #SaTML25

Conference on Secure and Trustworthy Machine Learning

🔐 Starting the final afternoon at #SaTML25 with Session 12—private learning from all angles: fairness, dataset selection, active learning, and budget-aware privacy.

Conference on Secure and Trustworthy Machine Learning

💻 What can you learn privately when compute is tight? Zachary Charles tackles user-level privacy under realistic constraints. #SaTML25

Conference on Secure and Trustworthy Machine Learning

🔐 Starting the final afternoon at #SaTML25 with Session 12—private learning from all angles: fairness, dataset selection, active learning, and budget-aware privacy.

Conference on Secure and Trustworthy Machine Learning

📊 Not all public datasets are equal. Xin Gu proposes a new metric—gradient subspace distance—to guide private learning choices. Paper: arxiv.org/abs/2303.01256 #SaTML25

Conference on Secure and Trustworthy Machine Learning

🔐 Starting the final afternoon at #SaTML25 with Session 12—private learning from all angles: fairness, dataset selection, active learning, and budget-aware privacy.

Conference on Secure and Trustworthy Machine Learning

📚🔒 Choose wisely. Kristian Schwethelm presents a method to balance data utility and privacy in active learning. Paper: arxiv.org/abs/2410.00542 #SaTML25

Conference on Secure and Trustworthy Machine Learning

🔐 Starting the final afternoon at #SaTML25 with Session 12—private learning from all angles: fairness, dataset selection, active learning, and budget-aware privacy.

Conference on Secure and Trustworthy Machine Learning

⚖️ Privacy isn’t always fair. Kai Yao breaks down the mechanisms that can introduce unfairness into private learning. Paper: arxiv.org/abs/2501.14414 #SaTML25