In our new work we ask: Can end-users make a platform’s ML models fairer? Firm-side fair learning often reduces accuracy, discouraging firms from using it. But if a platform relies on user data, can minority users collectively change the data to induce fairness? (1/4)

An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise Johanna Düngler, Amartya Sanyal http://arxiv.org/abs/2508.10879

🚨New Paper: Online Learning and Unlearning 🚨 We look at learning and unlearning in the online setting where both learning and unlearning requests arrive continuously over time. Lead by @yaxihu.bsky.social and joint work with Bernhard Schölkopf arxiv.org/abs/2505.08557

𝗖𝗮𝗻 𝘄𝗲 𝗮𝗹𝗶𝗴𝗻 𝗟𝗟𝗠𝘀 𝘁𝗼𝘄𝗮𝗿𝗱𝘀 𝗮 𝗱𝗲𝘀𝗶𝗿𝗲𝗱 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿 𝘄𝗵𝗶𝗹𝗲 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗶𝗻𝗴 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝗹 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝘀? We answer this in our #ICLR2025 paper. Tl;dr: We propose, evaluate and audit a novel differentially private activation steering algorithm for aligning LLMs. (1/🧵)

Open postdoc position in learning theory/ privacy/ robustness/ unlearning or any related topics with me and others in University of Copenhagen, Denmark. If you think you would be a good candidate, send me an email amartya18x.github.io/hiring/ #postdoc

No plans for April 9–11 yet? — Why not spend an amazing week in beautiful Copenhagen 🇩🇰, exploring cutting-edge research on trustworthy machine learning. Join us at SaTML 2025, the premier conference on AI security, AI privacy, and AI fairness! 👉 satml.org/attend @satml.org

Very shortly at @realaaai.bsky.social, @alext2.bsky.social and I will be giving a Tutorial on the impact of Quality and availability of labels and data for Privacy, Fairness, and Robustness of ML algorithms See here amartya18x.github.io/files/Tutori... @ucph.bsky.social

3rd IEEE Conference on Secure and Trustworthy Machine Learning University of Copenhagen, Denmark, April 9-11, 2025 - registration is open. satml.org @amartyasanyal.bsky.social

Differentially Private Steering for Large Language Model Alignment Anmol Goel, Yaxi Hu, Iryna Gurevych, Amartya Sanyal http://arxiv.org/abs/2501.18532

PhD call in Denmark. Applications open!

#ICLR »Differentially Private Steering for Large Language Model Alignment« by @anmolgoel.bsky.social, Yaxi Hu, Iryna Gurevych (@igurevych.bsky.social) & Amartya Sanyal (@amartyasanyal.bsky.social) (2/🧵)

I was very lucky and happy to be awarded the Villum Young Investigator grant yesterday villumfonden.dk/en/news/mill... Looking forward to the resulting research in unlearning, privacy, and online learning supported by the Villum foundation. (Hiring motivated PhDs and postdocs, especially postdocs)

I’ll be at #NeurIPS2024 this week! Looking forward to presenting my joint work with Thomas Steinke(@stein.ke) and Jon Ullman(@thejonullman.bsky.social) NeurIPS page with video: neurips.cc/virtual/2024... Link to arxiv: arxiv.org/abs/2406.07407

Excited to present at #NeurIPS2024 our work on robust mixture learning! How hard is mixture learning when (a lot of) outliers are present? We show that it's easier than it seems! Join us at the poster session (Wed, 16:30 PT, West Ballroom A-D #5710).

Graduating with a PhD related to privacy and robustness in machine learning? Apply to this post-doc opening by @amartyasanyal.bsky.social: employment.ku.dk/faculty/?sho...

Two weeks remaining to apply to this position. I'll also be at NeurIPS, if you want to chat you can DM or email me. :)

Three long research meetings throughout the day with four brilliant collaborators. It was a good day.

On the TCS job market: Hao Wu! Hao Wu's research interests focus on both the theoretical and practical aspects of differentially private data analysis. He is actively pursuing opportunities in academia and industry. 1/2 #TCSSky #AcademicJobMarket

🆘Help needed! Are you working on Privacy (from a Technical (e.g., Differential Privacy), Policy, or Law perspective)? Please give your availability to review for PPAI (ppai-workshop.github.io) if you can! We'd highly appreciate it! 🙏 forms.gle/dqjVsBsR2y81...

I made a starter pack for european researchers interested in some aspects of learning theory. The list is clearly inexhaustive. So please enter your suggestions in comments. go.bsky.app/5o5uVnr

Open Postdoctoral position in Privacy, unlearning, and Robustness in Machine Learning in University of Copenhagen to work with me! Deadline: December 15th If you want to spend a couple of years working on these exciting topics in beautiful Copenhagen, Apply here employment.ku.dk/all-vacancies/…