Arezoo Rajabi - RankMe

27 papers A* 2A 4Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. CoRR Arezoo Rajabi, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran
2024	J	`jnl`	Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. CoRR Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2024	A	`conf`	POSTER: Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. AsiaCCS Arezoo Rajabi, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran
2024	A	`conf`	POSTER: Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors. AsiaCCS Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2023	A*	`conf`	FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. NeurIPS Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2023	A	`conf`	LDL: A Defense for Label-Based Membership Inference Attacks. AsiaCCS Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran
2023	J	`jnl`	MDTD: A Multi Domain Trojan Detector for Deep Neural Networks. CoRR Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran
2023	A*	`conf`	MDTD: A Multi-Domain Trojan Detector for Deep Neural Networks. CCS Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran
2022	J	`jnl`	Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free. Proc. Priv. Enhancing Technol. Arezoo Rajabi, Mahdieh Abbasi, Rakesh B. Bobba, Kimia Tajik
2022	J	`jnl`	Game of Trojans: A Submodular Byzantine Approach. CoRR Dinuka Sahabandu, Arezoo Rajabi, Luyao Niu, Bo Li, Bhaskar Ramasubramanian, Radha Poovendran
2022	J	`jnl`	LDL: A Defense for Label-Based Membership Inference Attacks. CoRR Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran
2022	—	`conf`	Privacy-Preserving Reinforcement Learning Beyond Expectation. CDC Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran
2022	J	`jnl`	Privacy-Preserving Reinforcement Learning Beyond Expectation. CoRR Arezoo Rajabi, Bhaskar Ramasubramanian, Abdullah Al Maruf, Radha Poovendran
2022	J	`jnl`	Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning. CoRR Arezoo Rajabi, Bhaskar Ramasubramanian, Radha Poovendran
2021	J	`jnl`	On the (Im)Practicality of Adversarial Perturbation for Image Privacy. Proc. Priv. Enhancing Technol. Arezoo Rajabi, Rakesh B. Bobba, Mike Rosulek, Charles V. Wright, Wu-chi Feng
2021	J	`jnl`	Resilience Against Data Manipulation in Distributed Synchrophasor-Based Mode Estimation. IEEE Trans. Smart Grid Arezoo Rajabi, Rakesh B. Bobba
2021	—	`conf`	The Trojan Detection Challenge. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs. CoRR Arezoo Rajabi, Rakesh B. Bobba
2020	—	`conf`	Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. Canadian AI Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
2020	J	`jnl`	Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. CoRR Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
2020	A	`conf`	Toward Metrics for Differentiating Out-of-Distribution Sets. ECAI Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
2019	—	`conf`	False Data Detection in Distributed Oscillation Mode Estimation using Hierarchical k-means. SmartGridComm Arezoo Rajabi, Rakesh B. Bobba
2019	J	`jnl`	Toward Metrics for Differentiating Out-of-Distribution Sets. CoRR Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh Bobba
2018	J	`jnl`	Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. CoRR Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné
2018	J	`jnl`	Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning. CoRR Arezoo Rajabi, Mahdieh Abbasi, Christian Gagné, Rakesh B. Bobba
2017	J	`jnl`	DANI: A Fast Diffusion Aware Network Inference Algorithm. CoRR Maryam Ramezani, Hamid R. Rabiee, Maryam Tahani, Arezoo Rajabi
2016	—	`conf`	A Resilient Algorithm for Power System Mode Estimation using Synchrophasors. ICSS Arezoo Rajabi, Rakesh B. Bobba