I'll be presenting our work "Bayesian Estimation of Differential Privacy" at #ICML2023.
Join me from 1:30pm at the poster session (poster #708) to learn how to estimate the actual privacy of ML training pipelines using membership inference attacks.
This week, I will present (remotely) our paper "CERBERUS: Exploring Federated Prediction of Security Events" @acm_ccs. Please reach out if you want to have a chat.
We are happy to host one of the top conferences for computer and network security research, the @NDSSSymposium.
We’re expecting 200 people to join us in-person in San Diego, California🇺🇸, and over 200 more online.
Learn more about the #NDSS2022
https://t.co/7AlpBgsZdZ
Application review season is coming up! If you are a CS faculty trying to review Iranian applicants, here is a quick guide on how to gauge them: https://t.co/adU44qnsra #AcademicChatter
Help needed! We are searching industrial practitioners or ML-researchers for our survey about Adversarial ML in practice. Participation is anonymous and just takes 10 minutes, but your opinion is highly valuable to us!
👉 Go to survey: https://t.co/E8r08QZv33
Thanks!
Join us this Thursday at 1pm BST (8am EDT/8pm CST) at the workshop on Theoretical and Practical Privacy of ML Training Pipelines. We have a fantastic lineup of invited speakers and we will end with an open discussion.
Registration is open and free for all: https://t.co/idlqn91k6c
"Since few years, the quality I now appreciate most in papers is honesty: Here’s what we did, here’s what it does, here’s when we know it works, here’s what will not work."
This is a great article by Andreas.
How do different fields review papers? In 2021, I served on the PCs of @PLDI (programming languages), @ICSEconf (software engineering), and @acm_ccs (security). How do papers, reviews, and processes compare? And which dos and don'ts did I learn? Enjoy! https://t.co/ksOjqWIRCA
Saarland University introduces new bachelor’s degree courses in computer science taught entirely in English – and is the first German state university to do so (Photo: O. Dietze) @SIC_Saar : https://t.co/Hb3vGq6RtG
Introducing a report that summarizes the past 10 years of progress toward building secure AI systems.
The report makes this problem more tangible by collecting signals from academia, industry, and governments.
#AISecurity#TrustworthyAI#ResponsibleAI
https://t.co/8Npu36y7JT
The Devil's Guide to Incremental Research
In the past years, I have noticed a number of "recipes" for scientific papers – patterns that maximize the number of publications despite limited significance. To raise awareness for these recipes, we have to name them. Enjoy! (1/18)
Applications to be on the Shadow Program Committee for #SP21 are open. The Shadow PC allows students/post-docs interested in PC service to read submitted papers and go through the reviewing process, ultimately arriving at a shadow conference program.
https://t.co/kQnKSvY2m9
Dr. @ChrisBishopMSFT and @Mila_Quebec's Professor Yoshua Bengio are two of the most prominent scientists in ML. Join them on Dec 1 for a discussion/live Q&A about their thoughts on AI, plus the challenges and frontiers in the algorithms. Register now: https://t.co/yeJBkhPbYt