Alina Oprea
@alinamoprea
Security researcher and CS professor at @Northeastern @KhouryCollege. Interested in ML security and privacy, applications of ML to security, and cloud security.
ID: 703726114712088576
http://www.ccs.neu.edu/home/alina/ 27-02-2016 23:39:15
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Postdoc positions available at Northeastern U.'s Experential AI Institute. Areas of interest: AI applied to cybersecurity, life sciences, healthcare informatics, information retrieval, and responsible/ethical AI. Apply at: careers.hrm.northeastern.edu/en-us/job/5064…
Congratulations to my first PhD student Matthew Jagielski, who successfully defended his PhD thesis today! Thesis title: "Integrity and Privacy in Adversarial Machine Learning". Many thanks to the entire committee: @cnitarotaru (co-advisor), Jonathan Ullman, and Nicholas Carlini.
* ACM CCS 2021 (ACM CCS 2024) Free registration for students in US Institutions NSF supports free registration for students in US institutions to attend ACM CCS. Check details here: sigsac.org/ccs/CCS2021/co…
Submit your best papers on adversarial ML to the Special Issue on ML Security and Privacy at the IEEE S&P Magazine SecurityPrivacyMag. Call for papers at: computer.org/digital-librar…
Postdoc position available! 🙂 Prof. David Wagner UC Berkeley EECS is looking for a strong postdoc with interests in applications of machine learning to security or in adversarial machine learning, starting in 2022 or early 2023. If interested, please contact [email protected]
yes, we did it again - but this time it's a dedicated survey on poisoning attacks & defenses. Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning arxiv.org/abs/2205.01992 with Antonio Cinà Kathrin Grosse Ambra Alina Oprea et al.
The program of DLS 2022 IEEE S&P is finally out! Yizheng Chen and I can't wait to welcome you all on May 26 with a lineup of exciting research talks, including keynotes by Alina Oprea and Brendan Dolan-Gavitt and thought-provoking S&P panels (yes, S!) Curious? Head to dls2022.ieee-security.org
All-star Guest Editors Nathalie Baracaldo and Alina Oprea discuss trustworthy machine learning and highlight papers from this issue of Security & Privacy Magazine computer.org/csdl/magazine/… IEEE ComputerSociety #IEEECS
Our new paper "Network-Level Adversaries in Federated Learning", just presented at #IEEE #CNS 2022, is on arXiv: arxiv.org/abs/2208.12911! This is a collaboration with Matthew Jagielski, Gokberk Yar , Yuxuan Wang, Alina Oprea and @cnitarotaru
I am on sabbatical at Google this academic year. Peter Kairouz and I are looking for a PhD student researcher this Spring / Summer to work on privacy attacks in large language models. If interested, please contact me directly by email and send your CV.
