Alina Oprea

Differentially Private Fair Learning

Aaron Roth, Jonathan Ullman, Jieming Mao, 2018, ICML.

A Novel Approach in Melanoma Identification

Rodica Strungaru, Alina Oprea, A. M. Forsea, 2009 .

The House That Knows You: User Authentication Based on IoT Data

Cristina Nita-Rotaru, Mihai Christodorescu, Alina Oprea, 2019, ArXiv.

Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

Fabio Roli, Marco Melis, Cristina Nita-Rotaru, 2018, USENIX Security Symposium.

Proceedings of the 6th edition of the ACM Workshop on Cloud Computing Security

Gail-Joon Ahn, Reihaneh Safavi-Naini, Alina Oprea, 2014, CCSW.

On Designing Machine Learning Models for Malicious Network Traffic Classification pdf

Tina Eliassi-Rad, Simona Boboila, Alina Oprea, 2019, ArXiv.

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

Fabio Roli, Marco Melis, Cristina Nita-Rotaru, 2018, ArXiv.

Iris: a scalable cloud file system with efficient integrity checks

Marten van Dijk, Ari Juels, Emil Stefanov, 2012, ACSAC '12.

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Chang Liu, Bo Li, Cristina Nita-Rotaru, 2018, 2018 IEEE Symposium on Security and Privacy (SP).