1. Deep Learning with Differential Privacy
2. Abien Fred Agarap . 2018. Deep Learning using Rectified Linear Units (ReLU). ArXiv abs/1803.08375 ( 2018 ). Abien Fred Agarap. 2018. Deep Learning using Rectified Linear Units (ReLU). ArXiv abs/1803.08375 (2018).
3. Borja Balle , Giovanni Cherubin , and Jamie Hayes . 2022 . Reconstructing Training Data with Informed Adversaries. 2022 IEEE Symposium on Security and Privacy (SP) (2022), 1138--1156. Borja Balle, Giovanni Cherubin, and Jamie Hayes. 2022. Reconstructing Training Data with Informed Adversaries. 2022 IEEE Symposium on Security and Privacy (SP) (2022), 1138--1156.
4. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
5. Nicholas Carlini , Florian Tramèr , Eric Wallace , Matthew Jagielski , Ariel Herbert-Voss , Katherine Lee , Adam Roberts , Tom B. Brown , Dawn Xiaodong Song , Úlfar Erlingsson , Alina Oprea , and Colin Raffel . 2021 . Extracting Training Data from Large Language Models . In 30th USENIX Security Symposium (USENIX Security . USENIX Association, 2633--2650 . https://www.usenix.org/conference/usenixsecurity21/presentation/carlini-extracting Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Xiaodong Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel. 2021. Extracting Training Data from Large Language Models. In 30th USENIX Security Symposium (USENIX Security . USENIX Association, 2633--2650. https://www.usenix.org/conference/usenixsecurity21/presentation/carlini-extracting