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!

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

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

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...

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.

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...

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...

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.

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

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

📣 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

🚨 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

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

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

🌍 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...

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...

forms.gle

🚨 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...

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...

forms.gle

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

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

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

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

🛡️🌍 Session 11 at #SaTML25 is all about making models that hold up—across domains, sensors, and even sneaky tree poison.

⚖️ In Session 10, #SaTML25 takes a hard look at fairness—decentralized setups, strategic behavior, and when fairness efforts might backfire.

☀️ 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.

👁️ Wrapping up Day 2 with perception-focused research—texture, color, robustness, and what vision really means for machines. #SaTML25

🛡️ Into the privacy weeds for Session 8 at #SaTML25 —distributed systems, selection mechanisms, and data marketplaces, all with a privacy-aware twist.

🏁 Back on the competitive track at #SaTML25! This round features inference, documents, and malware—what could go wrong?

🥪 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.

🔎 From out-of-distribution detection to adversarial patch forensics—Session 6 at #SaTML25 is all about spotting the subtle stuff.

🔍 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.

☀️ 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.