Soheil Feizi
Cited by
Cited by
Integrative analysis of 111 reference human epigenomes
A Kundaje, W Meuleman, J Ernst, M Bilenky, A Yen, A Heravi-Moussavi, ...
Nature 518 (7539), 317-330, 2015
Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay
A Melnikov, A Murugan, X Zhang, T Tesileanu, L Wang, P Rogov, S Feizi, ...
Nature biotechnology 30 (3), 271-277, 2012
Are adversarial examples inevitable?
A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein
arXiv preprint arXiv:1809.02104, 2018
Network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis
Nature biotechnology 31 (8), 726-733, 2013
Can AI-generated text be reliably detected?
VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi
arXiv preprint arXiv:2303.11156, 2023
Perceptual adversarial robustness: Defense against unseen threat models
C Laidlaw, S Singla, S Feizi
arXiv preprint arXiv:2006.12655, 2020
Adversarially robust distillation
M Goldblum, L Fowl, S Feizi, T Goldstein
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3996-4003, 2020
Influence functions in deep learning are fragile
S Basu, P Pope, S Feizi
arXiv preprint arXiv:2006.14651, 2020
Benchmarking deep learning interpretability in time series predictions
AA Ismail, M Gunady, H Corrada Bravo, S Feizi
Advances in neural information processing systems 33, 6441-6452, 2020
Deep partition aggregation: Provable defense against general poisoning attacks
A Levine, S Feizi
arXiv preprint arXiv:2006.14768, 2020
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks
N Peri, N Gupta, WR Huang, L Fowl, C Zhu, S Feizi, T Goldstein, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
Understanding GANs in the LQG setting: Formulation, generalization and stability
S Feizi, F Farnia, T Ginart, D Tse
IEEE Journal on Selected Areas in Information Theory 1 (1), 304-311, 2020
Robustness certificates for sparse adversarial attacks by randomized ablation
A Levine, S Feizi
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4585-4593, 2020
Salient imagenet: How to discover spurious features in deep learning?
S Singla, S Feizi
arXiv preprint arXiv:2110.04301, 2021
Tunable sparse network coding
S Feizi, DE Lucani, M Médard
22th International Zurich Seminar on Communications (IZS), 2012
Compressing gans using knowledge distillation
A Aguinaldo, PY Chiang, A Gain, A Patil, K Pearson, S Feizi
arXiv preprint arXiv:1902.00159, 2019
Quantum Wasserstein generative adversarial networks
S Chakrabarti, H Yiming, T Li, S Feizi, X Wu
Advances in Neural Information Processing Systems 32, 2019
Robust optimal transport with applications in generative modeling and domain adaptation
Y Balaji, R Chellappa, S Feizi
Advances in Neural Information Processing Systems 33, 12934-12944, 2020
Spectral alignment of graphs
S Feizi, G Quon, M Recamonde-Mendoza, M Medard, M Kellis, ...
IEEE Transactions on Network Science and Engineering 7 (3), 1182-1197, 2019
Fairness through robustness: Investigating robustness disparity in deep learning
V Nanda, S Dooley, S Singla, S Feizi, JP Dickerson
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
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