Thank you to Samsung for the AI Researcher of 2025 award! I'm privileged to collaborate with many talented students & postdoctoral fellows @utoronto.ca @vectorinstitute.ai . This would not have been possible without them! It was a great honour to receive the award from @yoshuabengio.bsky.social !

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

Thank you to @schmidtsciences.bsky.social for funding our lab's work on cryptographic approaches for verifiable guarantees in ML systems and for connecting us to other groups working on these questions!

📄 Selective Prediction Via Training Dynamics Paper ➡️ arxiv.org/abs/2205.13532 Workshop ➡️ 3rd Workshop on High-dimensional Learning Dynamics (HiLD) Poster ➡️ West Meeting Room 118-120 on Sat 19 Jul 10:15 a.m. — 11:15 a.m. & 4:45 p.m. — 5:30 p.m.

📄 Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings (✨ oral paper ✨) Paper ➡️ arxiv.org/abs/2505.22356 Poster ➡️ E-504 on Thu 17 Jul 4:30 p.m. — 7 p.m. Oral Presentation ➡️ West Ballroom C on Thu 17 Jul 4:15 p.m. — 4:30 p.m.

📄 Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention TL;DR ➡️ We show that a model owner can artificially introduce uncertainty and provide a detection mechanism. Paper ➡️ arxiv.org/abs/2505.23968 Poster ➡️ E-1002 on Wed 16 Jul 11 a.m. — 1:30 p.m.

Secure Noise Sampling for Differentially Private Collaborative Learning (Olive Franzese, Congyu Fang, Radhika Garg, Somesh Jha, Nicolas Papernot, Xiao Wang, Adam Dziedzic) ia.cr/2025/1025

Excited to share the first batch of research projects funded through the Canadian AI Safety Institute's research program at CIFAR! The projects will tackle topics ranging from misinformation to safety in AI applications to scientific discovery. Learn more: cifar.ca/cifarnews/20...

📢 New ICML 2025 paper! Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention 🤔 Think model uncertainty can be trusted? We show that it can be misused—and how to stop it! Meet Mirage (our attack💥) & Confidential Guardian (our defense🛡️). 🧵1/10

If you are submitting to @ieeessp.bsky.social this year, a friendly reminder that there is an abstract submission deadline this Thursday May 29 (AoE). More details: sp2026.ieee-security.org/cfpapers.html

As part of the theme Societal Aspects of Securing the Digital Society, I will be hiring PhD students and postdocs at #MPI-SP, focusing in particular on the computational and sociotechnical aspects of technology regulations and the governance of emerging tech. Get in touch if interested.

🌍 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...

Excited to be in Singapore for ICLR, presenting our work on privacy auditing (w/ Aurélien & @nicolaspapernot.bsky.social). If you are interested in differential privacy/privacy auditing/security for ML, drop by (#497 26 Apr 10-12:30 pm) or let's grab a coffee! ☕ openreview.net/forum?id=xzK...

👋 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.

Karina Vold says the rapid development of AI systems has left both philosophers & computer scientists grappling with difficult questions. #UofT 💻 uoft.me/bsp

Congratulations again, Stephan, on this brilliant next step! Looking forward to what you will accomplish with @randomwalker.bsky.social & @msalganik.bsky.social!

The Canadian AI Safety Institute (CAISI) Research Program at CIFAR is now accepting Expressions of Interest for Solution Networks in AI Safety under two themes: * Mitigating the Safety Risks of Synthetic Content * AI Safety in the Global South. cifar.ca/ai/ai-and-so...

I will be giving a talk at the MPI-IS @maxplanckcampus.bsky.social in Tübingen next week (March 12 @ 11am). The talk will cover my group's overall approach to trust in ML, with a focus on our work on unlearning and how to obtain verifiable guarantees of trust. Details: is.mpg.de/events/speci...

For Canadian colleagues, CIFAR and the CPI at UWaterloo are sponsoring a special issue "Artificial Intelligence Safety and Public Policy in Canada" in Canadian Public Policy / Analyse de politiques More details: www.cpp-adp.ca

One of the first components of the CAISI (Canadian AI Safety Institute) research program has just launched: a call for Catalyst Grant Projects on AI Safety. Funding: up to 100K for one year Deadline to apply: February 27, 2025 (11:59, AoE) More details: cifar.ca/ai/cifar-ai-...

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

I look forward to co-directing the Canadian AI Safety Institute (CAISI) Research Program at CIFAR with @catherineregis.bsky.social We will be designing the program in the coming months and will soon share ways to get involved with this new community. Read more here: cifar.ca/cifarnews/20...