Biblio

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2023
Na, sr M, Hayes J, Steinke T, Balle B, Tramèr F, Jagielski M, Carlini N, Terzis A.  2023.  Tight Auditing of Differentially Private Machine Learning. 32nd USENIX Security Symposium (USENIX Security 23). :1631--1648.
2021
Carlini N, Tramèr F, Wallace E, Jagielski M, Herbert-Voss A, Lee K, Roberts A, Brown T, Song D, Erlingsson Ú et al..  2021.  Extracting Training Data from Large Language Models. 30th USENIX Security Symposium (USENIX Security 21). :2633--2650.
Carlini N.  2021.  Poisoning the Unlabeled Dataset of Semi-Supervised Learning. 30th USENIX Security Symposium (USENIX Security 21). :1577--1592.
2020
Jagielski M, Carlini N, Berthelot D, Kurakin A, Papernot N.  2020.  High Accuracy and High Fidelity Extraction of Neural Networks. 29th USENIX Security Symposium (USENIX Security 20). :1345--1362.
2017
He W, Wei J, Chen X, Carlini N, Song D.  2017.  Adversarial Example Defense: Ensembles of Weak Defenses are not Strong. 11th USENIX Workshop on Offensive Technologies (WOOT 17).
2016
Carlini N, Mishra P, Vaidya T, Zhang Y, Sherr M, Shields C, Wagner D, Zhou W.  2016.  Hidden Voice Commands. 25th USENIX Security Symposium (USENIX Security 16). :513--530.
2015
Carlini N, Barresi A, Payer M, Wagner D, Gross TR.  2015.  Control-Flow Bending: On the Effectiveness of Control-Flow Integrity. 24th USENIX Security Symposium (USENIX Security 15). :161--176.
2014
Carlini N, Wagner D.  2014.  ROP is Still Dangerous: Breaking Modern Defenses. 23rd USENIX Security Symposium (USENIX Security 14). :385--399.
2013
Kim E, Carlini N, Chang A, Yiu G, Wang K, Wagner D.  2013.  Improved Support for Machine-assisted Ballot-level Audits. 2013 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE 13).
2012
Carlini N, Felt APorter, Wagner D.  2012.  An Evaluation of the Google Chrome Extension Security Architecture. 21st USENIX Security Symposium (USENIX Security 12). :97--111.