Nils Lukas portrait

Contact

Bio

2024–nowAsst. ProfMBZUAI
2019–24PhDU. Waterloo
2016–18MScRWTH-Aachen

Guten Tag, I’m Nils 👋. I’m an Assistant Professor of Machine Learning at MBZUAI in Abu Dhabi leading the Secure, Private, Open and Trustworthy SPOT Lab logo AI lab. I have received Waterloo's 2024 Alumni Gold medal, my PhD thesis received the Top Mathematics Doctoral Prize and in 2025 I won an Amazon Research Award.

My research focuses on (i) secure, (ii) private and (iii) strategic machine learning. I am interested in researching methods to make large ML system accessible to millions of users in a responsible way. This includes topics such as content watermarking, privacy-preserving inference, AI safety & security and developing conversational agents with social intelligence.

I have taught the following courses at MBZUAI Please reach out if you are interested in seeing the course material.
> We have open positions in the SPOT Lab logo for talented students! Please apply via e-mail (my personal email or spot.ai@mbzuai.ac.ae).

Latest News (see all)

Feb'26 I attended our US AI Forum in San Francisco, then traveled to Washington DC for a CRA career event.
Jan'26 🔥Two accepted papers. DP-Fusion to ICLR'26 and SD-E^2 to EACL (Findings).
Dec'25 🥇I received an Amazon Research Award
Sept'25 I was invited by Hady Elsahar to give a remote talk to the watermarking team at Meta (FAIR) in Paris on 'Adaptively Robust and Forgery-Resistant Watermarking'.
Sept'25 I am a co-PI on a grant from the United Al-Saqer group to research privacy-preserving brain computer interfaces, with Abdulrahman Mahmoud and Elizabeth Churchill.
Sept'25 🔥 One paper on mask image watermarking accepted at NeurIPS’25.
Aug'25 I am a PI on a grant with Etihad Airways to research and develop conversational booking agents.
Aug'25 🔥 One paper on patching Speech Language Models accepted at EMNLP’25 (main).
May'25 🔥 Two papers accepted at ICML’25, one with a spotlight award (top 2.6%).
May'25 I travelled to the US AI Forum by MBZUAI in San Francisco.
Dec'24 🥇First place in the NeurIPS'24 watermark removal challenge with 4.4k USD price money. Congrats to Fahad Shamsha and the team. (link)
Oct'24 🥇First place in GITEX Cybersecurity hackathon with 10.8k USD price money. Congrats to my MSc student Tameem Bakr and the team.
Aug'24 I joined MBZUAI as an Assistant Professor of Machine Learning.
Jun'24 🔥 Two papers accepted at USENIX’24 on Private Set Intersection& secure DNN inference.
Apr'24 🥇Received the Mathematics Doctoral Prize and the Waterloo Alumni Gold Medal.
Jan'24 🔥 Two papers accepted at ICLR’24 (Vienna) on adaptive image‑watermark attacks & universal backdoors.
Dec'23 Gave a research talk at Meta on privacy of personal information in fine‑tuned LLMs.
Oct'23 Talk at UCBerkeley & 🥇Best Poster Award at Cheriton Symposium (Waterloo).
Oct'23 🏆 Distinguished Contribution Award at Microsoft MLADS for our IEEE S&P’23 paper.
Jun'23 Research talks at Google & MongoDB; IEEE S&P’23 paper featured on the Microsoft Research Focus blog.
May'23 🔥 Paper on learnable watermarks for image generators accepted at USENIX’23 Security (Anaheim).
Apr'23 🔥 Paper on PII leakage in language models accepted at IEEE S&P’23 (San Francisco).
May'22 Started research internship at Microsoft Research with Shruti Tople & Lukas Wutschitz.
Feb'22 🏆 Awarded the David R. Cheriton Scholarship for outstanding academic achievements.
"Ironically, the best questions are not questions that lead to answers, because answers are on their way to becoming cheap and plentiful. A good question is worth a million good answers."
— Kevin Kelly