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...

🚨 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...

🎤 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.

🎉 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!

🌐 We’re back for Session 4 at #SaTML25 — zooming out to take in some big-picture thinking on AI risks, hardware, and memory.

🏁 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.

🍽️ Back from lunch and diving straight into backdoors at #SaTML25. From training tricks to poisoned prompts—Session 3 is all about stealthy attacks.

Mom I'm on TV

🛡️ Heading into Session 2 at #SaTML25 — time to talk adversaries, attacks, and all the clever ways things can go wrong.

💧Watermarks in LLMs. In the last talk, Julien Piet tells us about how to evaluate and analyze watermarking techniques. #SaTML25

🧠 Drift happens. Sahar Abdelnabi talks about detecting LLM task drift via activation deltas. #SaTML25

Full house at #SaTML25! Great to see so many from the secure and trustworthy machine learning community gathered in Copenhagen. @satml.org

🔓 Jailbreak time: Alex Robey shows how to break black box LLMs in just 20 queries. No peeking inside the model needed. #SaTML25

♾️ Prompt once, repeat forever? Ghaith Hammouri explores fixed points in language models—and what happens when they don’t know how to stop. #SaTML25

🔐 Kicking off the technical sessions with some LLM security! #SaTML25

🎤 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

🏆 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!

👏 Huge congratulations to this year's Distinguished Reviewers at #SaTML25! Your thoughtful feedback and behind-the-scenes work help make this research community stronger.

👋 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.

📢 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 🇩🇰

No plans for April 9–11 yet? — Why not spend an amazing week in beautiful Copenhagen 🇩🇰, exploring cutting-edge research on trustworthy machine learning. Join us at SaTML 2025, the premier conference on AI security, AI privacy, and AI fairness! 👉 satml.org/attend @satml.org

The SaTML conference has a new logo!

The @satml.org program is now live! 👉 satml.org/program We are looking forward to three days of talks, posters, competitions, and fun—all centered around secure and trustworthy machine learning! Come visit us in Copenhagen 🇩🇰 in April: satml.org/attend

The list of accepted papers for @satml.org 2025 is now online: 📃 satml.org/accepted-pap... If you’re intrigued by secure and trustworthy machine learning, join us April 9-11 in Copenhagen, Denmark 🇩🇰. Find more details here: 👉 satml.org/attend/

If you work at the intersection of security, privacy, and machine learning, or more broadly how to trust ML, SaTML is a small-scale conference with highly-relevant work where you'll be able to have high-quality conversations with colleagues working in your area.

Hello world! The SaTML conference is now flying the blue skies! SaTML is the IEEE Conference on Secure and Trustworthy Machine Learning. The 2025 iteration, chaired by @someshjha.bsky.social @mlsec.org, will be in beautiful Copenhagen! Follow for the latest updates on the conference! satml.org

Registration for @satml.org is open. The program is shaping up to be really interesting. eventsignup.ku.dk/ieeesatml202...