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Saeed Mahloujifar
Saeed Mahloujifar
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Title
Cited by
Cited by
Year
The curse of concentration in robust learning: Evasion and poisoning attacks from concentration of measure
S Mahloujifar, DI Diochnos, M Mahmoody
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4536-4543, 2019
1532019
Improving adversarial robustness using proxy distributions
V Sehwag, S Mahloujifar, T Handina, S Dai, C Xiang, M Chiang, P Mittal
arXiv preprint arXiv:2104.09425 1, 2021
147*2021
Is private learning possible with instance encoding?
N Carlini, S Deng, S Garg, S Jha, S Mahloujifar, M Mahmoody, A Thakurta, ...
2021 IEEE Symposium on Security and Privacy (SP), 410-427, 2021
852021
Adversarial risk and robustness: General definitions and implications for the uniform distribution
D Diochnos, S Mahloujifar, M Mahmoody
Advances in Neural Information Processing Systems 31, 2018
822018
Universal Multi-Party Poisoning Attacks
S Mahloujifar, M Mahmoody, A Mohammed
International Conference on Machine Learning, 4274-4283, 2019
78*2019
Property inference from poisoning
S Mahloujifar, E Ghosh, M Chase
2022 IEEE Symposium on Security and Privacy (SP), 1120-1137, 2022
71*2022
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
672022
Mitigating membership inference attacks by {Self-Distillation} through a novel ensemble architecture
X Tang, S Mahloujifar, L Song, V Shejwalkar, M Nasr, A Houmansadr, ...
31st USENIX Security Symposium (USENIX Security 22), 1433-1450, 2022
632022
{PatchCleanser}: Certifiably robust defense against adversarial patches for any image classifier
C Xiang, S Mahloujifar, P Mittal
31st USENIX Security Symposium (USENIX Security 22), 2065-2082, 2022
592022
Revisiting the assumption of latent separability for backdoor defenses
X Qi, T Xie, Y Li, S Mahloujifar, P Mittal
The eleventh international conference on learning representations, 2022
582022
Model-targeted poisoning attacks with provable convergence
F Suya, S Mahloujifar, A Suri, D Evans, Y Tian
International Conference on Machine Learning, 10000-10010, 2021
45*2021
Can Adversarially Robust Learning Leverage Computational Hardness?
S Mahloujifar, M Mahmoody
[edit] Saeed Mahloujifar, Mohammad Mahmoody ; Proceedings of the 30th …, 2019
422019
Learning under -Tampering Attacks
S Mahloujifar, DI Diochnos, M Mahmoody
Proceedings of Algorithmic Learning Theory, PMLR 83:572-596, 2018., 2018
332018
Membership inference on word embedding and beyond
S Mahloujifar, HA Inan, M Chase, E Ghosh, M Hasegawa
arXiv preprint arXiv:2106.11384, 2021
292021
Blockwise p-Tampering Attacks on Cryptographic Primitives, Extractors, and Learners
S Mahloujifar, M Mahmoody
Theory of Cryptography: 15th International Conference, TCC 2017, Baltimore …, 2017
292017
Parameterizing activation functions for adversarial robustness
S Dai, S Mahloujifar, P Mittal
2022 IEEE Security and Privacy Workshops (SPW), 80-87, 2022
262022
Empirically measuring concentration: Fundamental limits on intrinsic robustness
S Mahloujifar, X Zhang, M Mahmoody, D Evans
Advances in Neural Information Processing Systems 32, 2019
242019
Just rotate it: Deploying backdoor attacks via rotation transformation
T Wu, T Wang, V Sehwag, S Mahloujifar, P Mittal
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security …, 2022
222022
Lower bounds for adversarially robust pac learning
DI Diochnos, S Mahloujifar, M Mahmoody
arXiv preprint arXiv:1906.05815, 2019
222019
Adversarially robust learning could leverage computational hardness
S Garg, S Jha, S Mahloujifar, M Mahmoody
Proceedings of the 31st International Conference on Algorithmic Learning …, 2020
212020
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