مقاله‌های دارای تعهدات انتشار عمومی - Soheil Feiziبیشتر بدانید
جای دیگری دردسترس است: ۶۳
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium Integrative analysis coordination Kundaje ...
Nature 518 (7539), 317-330, 2015
تعهدات: US National Institutes of Health, Howard Hughes Medical Institute, National …
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
تعهدات: US National Institutes of Health
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
تعهدات: Swiss National Science Foundation, US National Institutes of Health
Adversarially robust distillation
M Goldblum, L Fowl, S Feizi, T Goldstein
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3996-4003, 2020
تعهدات: US National Science Foundation, US Department of Defense
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
تعهدات: US National Science Foundation
Functional adversarial attacks
C Laidlaw, S Feizi
Advances in neural information processing systems 32, 2019
تعهدات: US National Science Foundation
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
تعهدات: US National Science Foundation, US Department of Defense
Quantum Wasserstein generative adversarial networks
S Chakrabarti, H Yiming, T Li, S Feizi, X Wu
Advances in Neural Information Processing Systems 32, 2019
تعهدات: US National Science Foundation, US Department of Energy
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
تعهدات: US National Science Foundation, US Department of Energy, US Department of …
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
تعهدات: US National Science Foundation
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
تعهدات: US National Science Foundation
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
تعهدات: US National Science Foundation, US Department of Defense
Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection
J Liu, A Levine, CP Lau, R Chellappa, S Feizi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
تعهدات: US Department of Defense
Curse of dimensionality on randomized smoothing for certifiable robustness
A Kumar, A Levine, T Goldstein, S Feizi
International Conference on Machine Learning, 5458-5467, 2020
تعهدات: US National Science Foundation
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
تعهدات: US National Science Foundation, US Department of Defense
On second-order group influence functions for black-box predictions
S Basu, X You, S Feizi
International conference on machine learning, 715-724, 2020
تعهدات: US National Science Foundation
Identifying and mitigating the security risks of generative ai
C Barrett, B Boyd, E Bursztein, N Carlini, B Chen, J Choi, AR Chowdhury, ...
Foundations and Trends® in Privacy and Security 6 (1), 1-52, 2023
تعهدات: US Department of Defense
Improving deep learning interpretability by saliency guided training
AA Ismail, H Corrada Bravo, S Feizi
Advances in Neural Information Processing Systems 34, 26726-26739, 2021
تعهدات: US National Science Foundation, US Department of Defense
Skew orthogonal convolutions
S Singla, S Feizi
International Conference on Machine Learning, 9756-9766, 2021
تعهدات: US National Science Foundation
Dual manifold adversarial robustness: Defense against lp and non-lp adversarial attacks
WA Lin, CP Lau, A Levine, R Chellappa, S Feizi
Advances in Neural Information Processing Systems 33, 3487-3498, 2020
تعهدات: US National Science Foundation, US Department of Defense
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