Sign in

Conference on Secure and Trustworthy Machine Learning

@satml.org
186 followers 2 following 98 posts

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

PostsRepliesMedia
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/09/2026
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
195
Conference on Secure and Trustworthy Machine Learning @satml.org · 25/08/2026
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...
122
Conference on Secure and Trustworthy Machine Learning @satml.org · 21/08/2026
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...
052
Conference on Secure and Trustworthy Machine Learning @satml.org · 23/07/2026
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!
112
Conference on Secure and Trustworthy Machine Learning @satml.org · 30/06/2026
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
021
Conference on Secure and Trustworthy Machine Learning @satml.org · 29/06/2026
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
074
Reposted by Conference on Secure and Trustworthy Machine Learning
Conference on Secure and Trustworthy Machine Learning @satml.org · 06/04/2026
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...
075
Conference on Secure and Trustworthy Machine Learning @satml.org · 07/04/2026
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.
042
Conference on Secure and Trustworthy Machine Learning @satml.org · 06/04/2026
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...
075
Conference on Secure and Trustworthy Machine Learning @satml.org · 22/12/2025
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
021
Conference on Secure and Trustworthy Machine Learning @satml.org · 21/12/2025
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.org
041
Reposted by Conference on Secure and Trustworthy Machine Learning
Konrad Rieck 🌈 @rieck.mlsec.org · 15/09/2025
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
053
Reposted by Conference on Secure and Trustworthy Machine Learning
Konrad Rieck 🌈 @rieck.mlsec.org · 03/09/2025
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
IEEE Conference on Secure and Trustworthy Machine Learning
Technical University of Munich, Germany
March 23–25, 2026
044
Reposted by Conference on Secure and Trustworthy Machine Learning
Konrad Rieck 🌈 @rieck.mlsec.org · 27/08/2025
📣 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.org
SaTML 2026
053
Reposted by Conference on Secure and Trustworthy Machine Learning
Konrad Rieck 🌈 @rieck.mlsec.org · 30/07/2025
🚨 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
052
Reposted by Conference on Secure and Trustworthy Machine Learning
Konrad Rieck 🌈 @rieck.mlsec.org · 07/07/2025
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
Call for Competitions
Competition proposal deadline: August 6, 2025
Decision notification: August 27, 2025
052
Reposted by Conference on Secure and Trustworthy Machine Learning
Konrad Rieck 🌈 @rieck.mlsec.org · 01/07/2025
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
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), March 23-25, 2025, Munich

Submission deadline: September 24, 2025
062
Conference on Secure and Trustworthy Machine Learning @satml.org · 12/05/2025
🌍 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.gle
Bid to host SaTML 2026
Thank 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...
068
Conference on Secure and Trustworthy Machine Learning @satml.org · 16/04/2025
🚨 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.gle
Bid to host SaTML 2026
Thank 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...
013
Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025
🎤 That’s a wrap on #SaTML25! Huge thanks to the speakers, organizers, reviewers, and everyone who joined the conversation. See you next time!
010
Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025
📏 Wrapping up the talks with deep dives into differential privacy—Session 14 gets technical, from fairness to auditing.
110
Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025
🕵️‍♂️ From detection to covert messaging—Session 13 explores the gray areas of ML security. #SaTML25
200
Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025
🔐 Starting the final afternoon at #SaTML25 with Session 12—private learning from all angles: fairness, dataset selection, active learning, and budget-aware privacy.
410
Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025
🛡️🌍 Session 11 at #SaTML25 is all about making models that hold up—across domains, sensors, and even sneaky tree poison.
100
Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025
⚖️ In Session 10, #SaTML25 takes a hard look at fairness—decentralized setups, strategic behavior, and when fairness efforts might backfire.
400
Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025
☀️ Kicking off the final day of #SaTML25 with a big question: Should you trust artificial intelligence? Matt Turek takes the stage for this morning’s keynote on the path toward trustworthy AI.
000
Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025
👁️ Wrapping up Day 2 with perception-focused research—texture, color, robustness, and what vision really means for machines. #SaTML25
310
Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025
🛡️ Into the privacy weeds for Session 8 at #SaTML25 —distributed systems, selection mechanisms, and data marketplaces, all with a privacy-aware twist.
400
Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025
🏁 Back on the competitive track at #SaTML25! This round features inference, documents, and malware—what could go wrong?
200
Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025
🥪 Back from lunch and into forgetting—Session 7 at #SaTML25 explores machine unlearning: how to do it, how to verify it, and how not to fool ourselves.
100
Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025
🔎 From out-of-distribution detection to adversarial patch forensics—Session 6 at #SaTML25 is all about spotting the subtle stuff.
410
Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025
🔍 Diving into data privacy now—Session 5 at #SaTML25 focuses on membership inference attacks: what they can prove, where they fail, and how to make sense of the noise.
410
Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025
☀️ Good morning from #SaTML25 Day 2! We’re starting with a keynote on privacy, memorization, and how we measure what models remember. Kamalika Chaudhuri takes the stage with The Science of Empirical Privacy Measurement: Memorization and Beyond.
021
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🎉 After a full day of talks and discussion, we’re closing Day 1 of #SaTML25 with the poster session and reception! Posters are up, snacks are out, and the conversations continue. See you there!
041
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🌐 We’re back for Session 4 at #SaTML25 — zooming out to take in some big-picture thinking on AI risks, hardware, and memory.
420
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🏁 We’re off to the races! #SaTML25 rolls into the first competition session—putting LLM defenses and synthetic data privacy to the test with real-world attack challenges.
210
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🍽️ Back from lunch and diving straight into backdoors at #SaTML25. From training tricks to poisoned prompts—Session 3 is all about stealthy attacks.
121
Reposted by Conference on Secure and Trustworthy Machine Learning
Igor Shilov (➡️ ICML 🇨🇦) @igorshilov.bsky.social · 09/04/2025
Mom I'm on TV
171
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🛡️ Heading into Session 2 at #SaTML25 — time to talk adversaries, attacks, and all the clever ways things can go wrong.
400
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
💧Watermarks in LLMs. In the last talk, Julien Piet tells us about how to evaluate and analyze watermarking techniques. #SaTML25
010
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🧠 Drift happens. Sahar Abdelnabi talks about detecting LLM task drift via activation deltas. #SaTML25
010
Reposted by Conference on Secure and Trustworthy Machine Learning
Konrad Rieck 🌈 @rieck.mlsec.org · 09/04/2025
Full house at #SaTML25! Great to see so many from the secure and trustworthy machine learning community gathered in Copenhagen. @satml.org
Audience at SaTML 2025
071
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🔓 Jailbreak time: Alex Robey shows how to break black box LLMs in just 20 queries. No peeking inside the model needed. #SaTML25
010
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
♾️ Prompt once, repeat forever? Ghaith Hammouri explores fixed points in language models—and what happens when they don’t know how to stop. #SaTML25
010
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🔐 Kicking off the technical sessions with some LLM security! #SaTML25
010
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🎤 The first keynote is on! Michael Veale (@michae.lv) takes the stage to explore Malice, Models, and Middlemen---a full-stack look at AI governance, from chips to the cloud. #SaTML25
0113
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
🏆 And the Best Paper Award at #SaTML25 goes to “SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)” by Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye. Well deserved!
0104
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
👏 Huge congratulations to this year's Distinguished Reviewers at #SaTML25! Your thoughtful feedback and behind-the-scenes work help make this research community stronger.
031
Conference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025
👋 Welcome to #SaTML25! Kicking things off with opening remarks --- excited for a packed schedule of keynotes, talks and competitions on secure and trustworthy machine learning.
163
Reposted by Conference on Secure and Trustworthy Machine Learning
Christian Schlarmann @chs20.bsky.social · 01/04/2025
📢 Robustness is not always at odds with accuracy! We show that adversarially robust vision encoders improve clean and robust accuracy over their base models in perceptual similarity tasks. Looking forward to presenting at SaTML @satml.org in Copenhagen next week 🇩🇰
131