Jie Zhang
PhD student at ETH Zurich, working on ML privacy and security
https://zj-jayzhang.github.io/
@javirandor.com
Red-Teaming LLMs / PhD student at ETH Zurich / Prev. research intern at Meta / People call me Javi / Vegan 🌱 Website: javirando.com
@peterbhase.bsky.social
AI safety researcher. PhD from UNC Chapel Hill (Google PhD Fellow). Previously: Anthropic, AI2, Google, Meta
@peterhenderson.bsky.social
Assistant Professor leading the AI, Law, & Society Lab @ Princeton 📚JD/PhD @ Stanford
@dhadfieldmenell.bsky.social
Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL. I work on value (mis)alignment in AI systems. https://people.csail.mit.edu/dhm/
@sleepinyourhat.bsky.social
AI safety at Anthropic, on leave from a faculty job at NYU. Views not employers'. I think you should join Giving What We Can. cims.nyu.edu/~sbowman
@edebenedetti.bsky.social
PhD student at ETH Zurich | Student Researcher at Google | Agents Security and more in general ML Security and Privacy edoardo.science spylab.ai
@aemai.bsky.social
AI privacy and security | PhD student in the SPY Lab at ETH Zurich | Ask me about coffee ☕️
@maksym-andr.bsky.social
Working on AI safety, robustness, and generalization (Square Attack, RobustBench, AgentHarm, etc). PhD from EPFL supported by Google & OpenPhil PhD fellowships. On the faculty job market for 2024-2025. More details: https://www.andriushchenko.me/
@hannahrosekirk.bsky.social
@benedelman.bsky.social
Thinking about how/why AI works/doesn't, and how to make it go well for us. Currently: technical research × policy @ US AI Safety Institute benjaminedelman.com
@sean-o-h.bsky.social
Academic, AI nerd and science nerd more broadly. Currently obsessed with stravinsky (not sure how that happened).
@nkristina.bsky.social
PhD student at ETH Zurich, working on AI safety. Cambridge MPhil in ML graduate | Alumnus of Mathematical Grammar School | from Serbia
@evzen.bsky.social
Data Science student, ETH Zurich 🇨🇭 MATS alumnus, Talos AI Governance Fellow 🇪🇺 Based in London ☔
@idavidrein.bsky.social
sentio ergo sum. developing the science of evals at METR. prev NYU, cohere
@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
@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
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
@adamsmith.xyz
Professor of computer science at Boston University. Not related to any economists, living or dead, as far as I know.
@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.
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@jubaz.bsky.social
Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly. Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec. He/him.
@differentialprivacy.org
🤖 new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract/metadata + updates from https://differentialprivacy.org [Under construction.]
@vsergei.bsky.social
Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@rasmuspagh.net
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app