Arezoo Rajabi
Arezoo Rajabi
Ph.D. Computer Science, Postdoctoral Scholar @ University of Washington
Подтвержден адрес электронной почты в домене oregonstate.edu - Главная страница
Sampling from complex networks with high community structures
M Salehi, HR Rabiee, A Rajabi
Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (2), 023126, 2012
On the (Im)Practicality of Adversarial Perturbation for Image Privacy
A Rajabi, R Bobba, M Rosulek, C Wright, W Feng
Privacy Enhancing Technology Symposium (PETS), 85-106, 2021
Toward adversarial robustness by diversity in an ensemble of specialized deep neural networks
M Abbasi, A Rajabi, C Gagné, RB Bobba
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020
Dani: A fast diffusion aware network inference algorithm
M Ramezani, HR Rabiee, M Tahani, A Rajabi
arXiv preprint arXiv:1706.00941, 2017
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning
M Abbasi, A Rajabi, C Gagné, RB Bobba
Dependable and Secure Machine Learning (DSML), 2018
Controlling over-generalization and its effect on adversarial examples generation and detection
M Abbasi, A Rajabi, AS Mozafari, RB Bobba, C Gagne
arXiv preprint arXiv:1808.08282, 2018
Toward metrics for differentiating out-of-distribution sets
M Abbasi, C Shui, A Rajabi, C Gagne, R Bobba
arXiv preprint arXiv:1910.08650, 2019
Resilience against data manipulation in distributed synchrophasor-based mode estimation
A Rajabi, RB Bobba
IEEE Transactions on Smart Grid 12 (4), 3538-3547, 2021
A resilient algorithm for power system mode estimation using synchrophasors
A Rajabi, RB Bobba
Proceedings of the 2nd Annual Industrial Control System Security Workshop, 23-29, 2016
Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs
A Rajabi, R Bobba
DSN Workshop on Dependable and Secure Machine Learning (DSML), 2019
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning
A Rajabi, B Ramasubramanian, R Poovendran
arXiv preprint arXiv:2203.15506, 2022
False Data Detection in Distributed Oscillation Mode Estimation using Hierarchical k-means
A Rajabi, RB Bobba
IEEE International Conference on Communications, Control, and Computing …, 2019
FLGAME: A Game-theoretic Defense against Backdoor Attacks In Federated Learning
J Jia, Z Yuan, D Sahabandu, L Niu, A Rajabi, B Ramasubramanian, B Li, ...
Privacy-Preserving Reinforcement Learning Beyond Expectation
A Rajabi, B Ramasubramanian, A Al Maruf, R Poovendran
2022 IEEE 61st Conference on Decision and Control (CDC), 4706-4713, 2022
LDL: A Defense for Label-Based Membership Inference Attacks
A Rajabi, D Sahabandu, L Niu, B Ramasubramanian, R Poovendran
arXiv preprint arXiv:2212.01688, 2022
Game of Trojans: A Submodular Byzantine Approach
D Sahabandu, A Rajabi, L Niu, B Li, B Ramasubramanian, R Poovendran
arXiv preprint arXiv:2207.05937, 2022
Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free
A Rajabi, M Abbasi, RB Bobba, K Tajik
Proceedings on Privacy Enhancing Technologies 3, 120-139, 2022
Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs
A Rajabi
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