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Arjun Nitin Bhagoji
Arjun Nitin Bhagoji
Postdoctoral Scholar, University of Chicago
Verified email at uchicago.edu - Homepage
Title
Cited by
Cited by
Year
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021
29262021
Analyzing federated learning through an adversarial lens
AN Bhagoji, S Chakraborty, P Mittal, S Calo
International Conference on Machine Learning, 634-643, 2019
6342019
Enhancing Robustness of Machine Learning Systems via Data Transformations
AN Bhagoji, D Cullina, C Sitawarin, P Mittal
arXiv preprint arXiv:1704.02654, 2017
335*2017
Practical black-box attacks on deep neural networks using efficient query mechanisms
AN Bhagoji, W He, B Li, D Song
Proceedings of the European conference on computer vision (ECCV), 154-169, 2018
270*2018
Darts: Deceiving autonomous cars with toxic signs
C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
arXiv preprint arXiv:1802.06430, 2018
2232018
PAC-learning in the presence of evasion adversaries
D Cullina, AN Bhagoji, P Mittal
Advances in Neural Information Processing Systems, 228-239, 2018
110*2018
Backdoor attacks on facial recognition in the physical world
E Wenger, J Passananti, AN Bhagoji, Y Yao, H Zheng, BY Zhao
arXiv preprint arXiv:2006.14580, 2020
81*2020
Lower bounds on adversarial robustness from optimal transport
AN Bhagoji, D Cullina, P Mittal
Advances in Neural Information Processing Systems 32, 2019
732019
Rogue signs: Deceiving traffic sign recognition with malicious ads and logos
C Sitawarin, AN Bhagoji, A Mosenia, P Mittal, M Chiang
arXiv preprint arXiv:1801.02780, 2018
682018
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking.
C Xiang, AN Bhagoji, V Sehwag, P Mittal
USENIX Security Symposium, 2237-2254, 2021
572021
Analyzing the robustness of open-world machine learning
V Sehwag, AN Bhagoji, L Song, C Sitawarin, D Cullina, M Chiang, P Mittal
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
56*2019
Model poisoning attacks in federated learning
AN Bhagoji, S Chakraborty, P Mittal, S Calo
Proc. Workshop Secur. Mach. Learn.(SecML) 32nd Conf. Neural Inf. Process …, 2018
422018
Patch-based defenses against web fingerprinting attacks
S Shan, AN Bhagoji, H Zheng, BY Zhao
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021
19*2021
Sparsefed: Mitigating model poisoning attacks in federated learning with sparsification
A Panda, S Mahloujifar, AN Bhagoji, S Chakraborty, P Mittal
International Conference on Artificial Intelligence and Statistics, 7587-7624, 2022
142022
A critical evaluation of open-world machine learning
L Song, V Sehwag, AN Bhagoji, P Mittal
arXiv preprint arXiv:2007.04391, 2020
122020
Poison forensics: Traceback of data poisoning attacks in neural networks
S Shan, AN Bhagoji, H Zheng, BY Zhao
31st USENIX Security Symposium (USENIX Security 22), 3575-3592, 2022
8*2022
Not all pixels are born equal: An analysis of evasion attacks under locality constraints
V Sehwag, C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
72018
Black-box Attacks on Deep Neural Networks via Gradient Estimation
AN Bhagoji, W He, B Li, D Song
ICLR Workshop, 2018
72018
Equivalence of 2D color codes (without translational symmetry) to surface codes
A Bhagoji, P Sarvepalli
2015 IEEE International Symposium on Information Theory (ISIT), 1109-1113, 2015
72015
A nano-satellite mission to study charged particle precipitation from the Van Allen radiation belts caused due to Seismo-electromagnetic emissions
N Sivadas, A Gulati, D Kannapan, AS Yalamarthy, A Dhiman, A Bhagoji, ...
arXiv preprint arXiv:1411.6034, 2014
72014
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