Edoardo Debenedetti @NeurIPS
PhD student at ETH Zurich | Student Researcher at Google | Agents Security and more in general ML Security and Privacy
edoardo.science
spylab.ai
@catherineregis.bsky.social
Law professor at Université de Montréal, Canada CIFAR Chair in AI and Human Rights, Canada research chair in Health Law and Policy, Academic Member at Mila, Director of social innovation and international policy at IVADO
@ana-mariacretu.bsky.social
Post-doc at EPFL studying privacy and safety harms in data-driven systems. PhD in data privacy from Imperial College London. https://ana-mariacretu.github.io/
@jiezhang-ethz.bsky.social
PhD student at ETH Zurich, working on ML privacy and security https://zj-jayzhang.github.io/
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/
@chawins.bsky.social
Postdoc @Meta (Privacy-Preserving ML | Central Applied Science). PhD CS @UCBerkeley. ML security 👹 privacy 👀 robustness 🛡 Views are my own.
@nkristina.bsky.social
PhD student at ETH Zurich, working on AI safety. Cambridge MPhil in ML graduate | Alumnus of Mathematical Grammar School | from Serbia
@phastidio.net
Opinions are my (cl)own https://linktr.ee/marioseminerio editor [@] phastidio [.] net
@ayukh.bsky.social
Statistics MSc @ ETH Zurich Multilingual LLM training/eval/safety @ SRI lab ayukh.com
@bogdankulynych.bsky.social
researcher studying privacy, security, reliability, and broader social implications of algorithmic systems. website: https://kulyny.ch
@howard.fm
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
@natolambert.bsky.social
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef Writes http://interconnects.ai At Ai2 via HuggingFace, Berkeley, and normal places
@giadapistilli.com
Principal Ethicist @hf.co | Philosophy Ph.D. @sorbonne-universite.fr
@melissahei.bsky.social
AI Correspondent at the Financial Times. Formerly senior reporter for AI at MIT Technology Review
@soheil-feizi.bsky.social
Founder & CEO at RELAI (relai.ai), CS Prof at UMD, ML/AI, MIT Alum
@profericwong.bsky.social
Assistant professor at University of Pennsylvania. Machine learning, optimization, robustness & interpretability. Home page: https://www.cis.upenn.edu/~exwong/ Lab page: https://brachiolab.github.io/ Research blog: https://debugml.github.io/
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@simonwillison.net
Independent AI researcher, creator of datasette.io and llm.datasette.io, building open source tools for data journalism, writing about a lot of stuff at https://simonwillison.net/
@moyix.net
AI researcher at XBOW, Associate Professor @ NYU Tandon (on leave). Security, RE, ML. PGP http://keybase.io/moyix/ Founder of the MESS Lab: http://messlab.moyix.net
@wuzzi23.bsky.social
@rich.harang.org
Using bad guys to catch math since 2010. Principal Security Architect (AI/ML) and AI Red Team at NVIDIA. He/him. Personal account etc; `from std_disclaimers import *` Safe AI starts with Secure AI.
@leonderczynski.bsky.social
LLM Security & Safety at NVIDIA Prof in CS/NLP at IT University of Copenhagen garak guy, garak.ai "berømt skikkelse" "like a gazelle" Copenhagen/Seattle
@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/
@anthropic.com
We're an Al safety and research company that builds reliable, interpretable, and steerable Al systems. Talk to our Al assistant Claude at Claude.ai.
@peterbhase.bsky.social
AI safety researcher. PhD from UNC Chapel Hill (Google PhD Fellow). Previously: Anthropic, AI2, Google, Meta
@xefffffff.bsky.social
AI Security & Privacy Researcher at Microsoft. Opinions are my own. https://aka.ms/sz
@javirandor.com
Red-Teaming LLMs / PhD student at ETH Zurich / Prev. research intern at Meta / People call me Javi / Vegan 🌱 Website: javirando.com
@aemai.bsky.social
AI privacy and security | PhD student in the SPY Lab at ETH Zurich | Ask me about coffee ☕️
@antoniosclocchi.bsky.social
Researcher in statistical physics and machine learning @UCL Gatsby | Previously @EPFL | Physics PhD @UnivParisSaclay | BCG The Future Makers | ASP XI https://antonioscl.github.io/
@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
@iamgroot42.bsky.social
Postdoc @ Khoury | Previously Ph.D. @ UVA (David Evans) | IIITD Alum | Interested in machine learning privacy & security.
@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.
@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.
@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.
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@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
@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