Arezoo Rajabi

According to our database, Arezoo Rajabi authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors.

Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

CoRR, 2024

Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization.

Arezoo Rajabi, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran

CoRR, 2024

POSTER: Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors.

Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

POSTER: Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization.

Arezoo Rajabi, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning.

Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MDTD: A Multi-Domain Trojan Detector for Deep Neural Networks.

Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

LDL: A Defense for Label-Based Membership Inference Attacks.

Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free.

Arezoo Rajabi, Mahdieh Abbasi, Rakesh B. Bobba, Kimia Tajik

Proc. Priv. Enhancing Technol., 2022

Game of Trojans: A Submodular Byzantine Approach.

Dinuka Sahabandu, Arezoo Rajabi, Luyao Niu, Bo Li, Bhaskar Ramasubramanian, Radha Poovendran

CoRR, 2022

Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning.

Arezoo Rajabi, Bhaskar Ramasubramanian, Radha Poovendran

CoRR, 2022

Privacy-Preserving Reinforcement Learning Beyond Expectation.

Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Resilience Against Data Manipulation in Distributed Synchrophasor-Based Mode Estimation.

Arezoo Rajabi, Rakesh B. Bobba

IEEE Trans. Smart Grid, 2021

On the (Im)Practicality of Adversarial Perturbation for Image Privacy.

Arezoo Rajabi, Rakesh B. Bobba, Mike Rosulek, Charles V. Wright, Wu-chi Feng

Proc. Priv. Enhancing Technol., 2021

The Trojan Detection Challenge.

Mantas Mazeika, Dan Hendrycks, Huichen Li, Xiaojun Xu, Sidney Q. Hough, Andy Zou, Arezoo Rajabi, Qi Yao, Zihao Wang, Jian Tian, Yao Tang, Di Tang, Roman Smirnov, Pavel Pleskov, Nikita Benkovich, Dawn Song, Radha Poovendran, Bo Li, David A. Forsyth

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs.

Arezoo Rajabi, Rakesh B. Bobba

CoRR, 2020

Toward Metrics for Differentiating Out-of-Distribution Sets.

Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks.

Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba

Proceedings of the Advances in Artificial Intelligence, 2020

2019

False Data Detection in Distributed Oscillation Mode Estimation using Hierarchical k-means.

Arezoo Rajabi, Rakesh B. Bobba

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection.

Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné

CoRR, 2018

Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning.

Arezoo Rajabi, Mahdieh Abbasi, Christian Gagné, Rakesh B. Bobba

CoRR, 2018

2017

DANI: A Fast Diffusion Aware Network Inference Algorithm.

Maryam Ramezani, Hamid R. Rabiee, Maryam Tahani, Arezoo Rajabi

CoRR, 2017

2016

A Resilient Algorithm for Power System Mode Estimation using Synchrophasors.

Arezoo Rajabi, Rakesh B. Bobba

Proceedings of the 2nd Annual Industrial Control System Security Workshop, 2016