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Alina Oprea
Extracting Training Data from Large Language Models

Dec 14, 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


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Subpopulation Data Poisoning Attacks

Jun 24, 2020
Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea


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Auditing Differentially Private Machine Learning: How Private is Private SGD?

Jun 13, 2020
Matthew Jagielski, Jonathan Ullman, Alina Oprea


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Exploring Backdoor Poisoning Attacks Against Malware Classifiers

Apr 11, 2020
Giorgio Severi, Jim Meyer, Scott Coull, Alina Oprea

* 19 pages, 6 figures 
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Adversarial Examples for Deep Learning Cyber Security Analytics

Sep 23, 2019
Alesia Chernikova, Alina Oprea


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QFlip: An Adaptive Reinforcement Learning Strategy for the FlipIt Security Game

Aug 14, 2019
Lisa Oakley, Alina Oprea

* will appear in 10th Conference on Decision and Game Theory in Security 
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On Designing Machine Learning Models for Malicious Network Traffic Classification

Jul 10, 2019
Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad


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Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game

Jun 27, 2019
Lisa Oakley, Alina Oprea


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Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction

Apr 15, 2019
Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim

* Preprint of the work accepted for publication at the IEEE Workshop on the Internet of Safe Things, San Francisco, CA, USA, May 23, 2019 
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Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation

Apr 09, 2019
Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos


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Differentially Private Fair Learning

Dec 06, 2018
Matthew Jagielski, Michael Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan Ullman


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On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks

Sep 08, 2018
Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli


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Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Apr 01, 2018
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li

* Preprint of the work accepted for publication at the 39th IEEE Symposium on Security and Privacy, San Francisco, CA, USA, May 21-23, 2018 
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Robust High-Dimensional Linear Regression

Aug 09, 2016
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea


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