Biblio

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Filters: Author is Matthew Jagielski  [Clear All Filters]
2023
Carlini N, Hayes J, Na, sr M, Jagielski M, Sehwag V, Tramèr F, Balle B, Ippolito D, Wallace E.  2023.  Extracting Training Data from Diffusion Models. 32nd USENIX Security Symposium (USENIX Security 23). :5253--5270.
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.
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.
2019
Demontis A, Melis M, Pintor M, Jagielski M, Biggio B, Oprea A, Nita-Rotaru C, Roli F.  2019.  Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks 28th USENIX Security Symposium (USENIX Security 19). :321--338.