iiinova — where your digital self keeps evolving

Conference on Secure and Trustworthy Machine Learning @satml.org · 09/09/2026

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abstract at SaTML, but they must not submit the full paper unless that other submission has been resolved (rejected or withdrawn) by the SaTML paper submission deadline.

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 09/09/2026

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.

110

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

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

000

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

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

021

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 · 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

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

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

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

031

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

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

200

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

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

100

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

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

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

💣 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

000

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

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

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

📊 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

031

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

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

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

⚖️ 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

010

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

🌲💀 Even decision trees aren’t safe. Lorenzo Cazzaro shows how to poison tree-based models. Paper: arxiv.org/abs/2410.00862 #SaTML25

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

🚗🔦 How robust are LiDAR detectors?Alexandra Arzberger presents Hi-ALPS, benchmarking six systems used in autonomous vehicles. Paper: arxiv.org/abs/2503.17168 #SaTML25

100

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

🎯 Robustness meets domain adaptation. Natalia Ponomareva introduces DART, a principled method for adapting without labels—and withstanding attacks. #SaTML25

100

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

🔍 A fairness reality check. Claire Zhang surveys the landscape of fair clustering—what works, what doesn’t, and what’s next. #SaTML25

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

🎯 Adversarial incentives meet fairness. Emily Diana presents a minimax approach to fairness when users can game the system. #SaTML25

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

🌀 Trying to be fair… and failing? Natasa Krco argues that efforts to reduce bias can themselves be arbitrary—or even unfair. #SaTML25

010

Conference on Secure and Trustworthy Machine Learning @satml.org · 11/04/2025

🌍 No central authority, no problem?Sayan Biswas explores fairness challenges and solutions in decentralized learning systems. Paper: arxiv.org/abs/2410.02541 #SaTML25

000

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

🌈 Can machines see color like we do? Ming-Chang Chiu presents ColorSense, exploring color perception in machine vision. Paper: arxiv.org/abs/2212.08650 #SaTML25

000

Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025

🪵🧵 Texture vs. shape. Blaine Hoak dives into real-world evidence of texture bias in vision models. Paper: arxiv.org/abs/2412.10597 #SaTML25

011

Conference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025

📎 Perception with CLIP. Christian Schlarmann shows how robustness in CLIP models improves perceptual metrics. Paper: arxiv.org/abs/2502.11725 #SaTML25

000