
views: 182
Nicholas Carlini
Sign in to view more

Ego Network
D-Core
Research Interests
Author Statistics
Experience
Sign in to view more
Education
Sign in to view more
Bio
Generally, I am interested in developing attacks on machine learning systems; most of my work develops attacks demonstrating security and privacy risks of these systems. I have received best paper awards at ICML and IEEE S&P, and my work has been featured in the New York Times, the BBC, Nature Magazine, Science Magazine, Wired, and Popular Science.
Papers52 papers
Sort
By YearBy Citation
ICML, pp.9561-9571, (2020)
Nicholas Carlini, Samuel Deng,Sanjam Garg,Somesh Jha, Saeed Mahloujifar,Mohammad Mahmoody, Shuang Song,Abhradeep Thakurta,Florian Tramer
CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security
Virtual Event
..., pp.2143-2144, (2020)
Nicholas Carlini,Florian Tramer,Eric Wallace,Matthew Jagielski,Ariel Herbert-Voss,Katherine Lee, Adam Roberts,Tom Brown,Dawn Song, Ulfar Erlingsson,Alina Oprea,Colin Raffel
Kihyuk Sohn,David Berthelot,Nicholas Carlini,Zizhao Zhang,Han Zhang,Colin A Raffel,Ekin Dogus Cubuk,Alexey Kurakin, Chun-Liang Li
NeurIPS, (2020)
neural information processing systems, (2020)
USENIX Security Symposium, pp.1345-1362, (2020)
international cryptology conference, pp.189-218, (2020)
NeurIPS, (2020)
Alexander Ratner,Dan Alistarh,Gustavo Alonso,David G Andersen,Peter Bailis, Sarah Bird,Nicholas Carlini,Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally,Jeff Dean
arXiv preprint arXiv:1904.03257, (2019)
Alexander Ratner,Dan Alistarh,Gustavo Alonso,Peter Bailis, Sarah Bird,Nicholas Carlini,Bryan Catanzaro, Eric Chung, Bill Dally,Jeff Dean,Inderjit S. Dhillon,Alexandros G. Dimakis
arXiv: Learning, (2019)
View All