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, ...
arXiv preprint arXiv:1912.04977, 2019
5942019
Enhancing Robustness of Machine Learning Systems via Data Transformations
AN Bhagoji, D Cullina, C Sitawarin, P Mittal
arXiv preprint arXiv:1704.02654, 2017
203*2017
Analyzing federated learning through an adversarial lens
AN Bhagoji, S Chakraborty, P Mittal, S Calo
International Conference on Machine Learning, 634-643, 2019
1962019
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
155*2018
Darts: Deceiving autonomous cars with toxic signs
C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
arXiv preprint arXiv:1802.06430, 2018
1192018
PAC-learning in the presence of evasion adversaries
D Cullina, AN Bhagoji, P Mittal
Advances in Neural Information Processing Systems, 228-239, 2018
632018
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
442018
Lower bounds on adversarial robustness from optimal transport
AN Bhagoji, D Cullina, P Mittal
arXiv preprint arXiv:1909.12272, 2019
292019
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
21*2019
Advances and open problems in federated learning
P Kairouz, B Mcmahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
152021
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
102020
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
92018
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
C Xiang, AN Bhagoji, V Sehwag, P Mittal
30th {USENIX} Security Symposium ({USENIX} Security 21), 2021
8*2021
Black-box Attacks on Deep Neural Networks via Gradient Estimation
AN Bhagoji, W He, B Li, D Song
ICLR Workshop, 2018
72018
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
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
52015
A critical evaluation of open-world machine learning
L Song, V Sehwag, AN Bhagoji, P Mittal
arXiv preprint arXiv:2007.04391, 2020
32020
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
32018
On the Local Equivalence of 2D Color Codes and Surface Codes with Applications
AB Aloshious, AN Bhagoji, PK Sarvepalli
arXiv preprint arXiv:1804.00866, 2018
22018
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
AN Bhagoji, D Cullina, V Sehwag, P Mittal
arXiv preprint arXiv:2104.08382, 2021
2021
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