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Arezoo Rajabi
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Journal Articles
- 2022
- [j3]Arezoo Rajabi, Mahdieh Abbasi, Rakesh B. Bobba
, Kimia Tajik:
Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free. Proc. Priv. Enhancing Technol. 2022(3): 120-139 (2022) - 2021
- [j2]Arezoo Rajabi, Rakesh B. Bobba
, Mike Rosulek, Charles V. Wright, Wu-chi Feng:
On the (Im)Practicality of Adversarial Perturbation for Image Privacy. Proc. Priv. Enhancing Technol. 2021(1): 85-106 (2021) - [j1]Arezoo Rajabi
, Rakesh B. Bobba
:
Resilience Against Data Manipulation in Distributed Synchrophasor-Based Mode Estimation. IEEE Trans. Smart Grid 12(4): 3538-3547 (2021)
Conference and Workshop Papers
- 2024
- [c11]Arezoo Rajabi
, Reeya Pimple
, Aiswarya Janardhanan
, Surudhi Asokraj
, Bhaskar Ramasubramanian
, Radha Poovendran
:
POSTER: Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. AsiaCCS 2024 - [c10]Dinuka Sahabandu
, Xiaojun Xu
, Arezoo Rajabi
, Luyao Niu
, Bhaskar Ramasubramanian
, Bo Li
, Radha Poovendran
:
POSTER: Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. AsiaCCS 2024 - 2023
- [c9]Arezoo Rajabi
, Dinuka Sahabandu
, Luyao Niu
, Bhaskar Ramasubramanian
, Radha Poovendran
:
LDL: A Defense for Label-Based Membership Inference Attacks. AsiaCCS 2023: 95-108 - [c8]Arezoo Rajabi
, Surudhi Asokraj
, Fengqing Jiang
, Luyao Niu
, Bhaskar Ramasubramanian
, James A. Ritcey
, Radha Poovendran
:
MDTD: A Multi-Domain Trojan Detector for Deep Neural Networks. CCS 2023: 2232-2246 - [c7]Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran:
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. NeurIPS 2023 - 2022
- [c6]Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran
:
Privacy-Preserving Reinforcement Learning Beyond Expectation. CDC 2022: 4706-4713 - 2021
- [c5]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:
The Trojan Detection Challenge. NeurIPS (Competition and Demos) 2021: 279-291 - 2020
- [c4]Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné
, Rakesh B. Bobba
:
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. Canadian AI 2020: 1-14 - [c3]Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné
, Rakesh B. Bobba
:
Toward Metrics for Differentiating Out-of-Distribution Sets. ECAI 2020: 929-936 - 2019
- [c2]Arezoo Rajabi, Rakesh B. Bobba
:
False Data Detection in Distributed Oscillation Mode Estimation using Hierarchical k-means. SmartGridComm 2019: 1-7 - 2016
- [c1]Arezoo Rajabi, Rakesh B. Bobba
:
A Resilient Algorithm for Power System Mode Estimation using Synchrophasors. ICSS 2016: 23-29
Informal and Other Publications
- 2024
- [i13]Arezoo Rajabi, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran
:
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. CoRR abs/2402.01114 (2024) - [i12]Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
:
Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. CoRR abs/2402.08695 (2024) - 2023
- [i11]Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran
:
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks. CoRR abs/2308.15673 (2023) - 2022
- [i10]Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran
:
Privacy-Preserving Reinforcement Learning Beyond Expectation. CoRR abs/2203.10165 (2022) - [i9]Arezoo Rajabi, Bhaskar Ramasubramanian, Radha Poovendran
:
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning. CoRR abs/2203.15506 (2022) - [i8]Dinuka Sahabandu, Arezoo Rajabi, Luyao Niu, Bo Li, Bhaskar Ramasubramanian, Radha Poovendran
:
Game of Trojans: A Submodular Byzantine Approach. CoRR abs/2207.05937 (2022) - [i7]Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran
:
LDL: A Defense for Label-Based Membership Inference Attacks. CoRR abs/2212.01688 (2022) - 2020
- [i6]Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba:
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. CoRR abs/2005.08321 (2020) - [i5]Arezoo Rajabi, Rakesh B. Bobba:
Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs. CoRR abs/2011.09123 (2020) - 2019
- [i4]Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba:
Toward Metrics for Differentiating Out-of-Distribution Sets. CoRR abs/1910.08650 (2019) - 2018
- [i3]Arezoo Rajabi, Mahdieh Abbasi, Christian Gagné, Rakesh B. Bobba:
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning. CoRR abs/1804.08794 (2018) - [i2]Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné:
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. CoRR abs/1808.08282 (2018) - 2017
- [i1]Maryam Ramezani, Hamid R. Rabiee, Maryam Tahani, Arezoo Rajabi:
DANI: A Fast Diffusion Aware Network Inference Algorithm. CoRR abs/1706.00941 (2017)
Coauthor Index
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