Yves-Alexandre de Montjoye
Associate Professor of Applied Mathematics and CS at Imperial College London (🇬🇧). MIT PhD. I'm working on automated privacy attacks, LLM memorization, and AI Safety. Road cyclist 🚴 and former EU Special Adviser (🇪🇺).
@g-k.ai
Research Scientist @ Google DeepMind in London working on AI privacy, security and safety. Previously @ Imperial College London, TU Munich, Helmholtz Munich. 🇪🇺 🏳️🌈 https://www.g-k.ai
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@xefffffff.bsky.social
AI Security & Privacy Researcher at Microsoft. Opinions are my own. https://aka.ms/sz
@uhengart.bsky.social
CS prof at University of Waterloo. Interested in security and privacy.
@nicolaspapernot.bsky.social
Security and Privacy of Machine Learning at UofT, Vector Institute, and Google 🇨🇦🇫🇷🇪🇺 Co-Director of Canadian AI Safety Institute (CAISI) Research Program at CIFAR. Opinions mine
@vsergei.bsky.social
Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@bipr.bsky.social
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@igorshilov.bsky.social
Anthropic AI Safety Fellow PhD student at Imperial College London. ML, interpretability, privacy, and stuff 🏳️🌈 https://igorshilov.com/
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@emilianodc.com
Professor at UC Riverside, head of spalab.cs.ucr.edu Home: emilianodc.com
@markriedl.bsky.social
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Associate Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
@bogdankulynych.bsky.social
researcher studying privacy, security, reliability, and broader social implications of algorithmic systems. website: https://kulyny.ch
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein