Følg
Nicolas Flammarion
Nicolas Flammarion
EPFL
Verificeret mail på epfl.ch - Startside
Titel
Citeret af
Citeret af
År
Square attack: a query-efficient black-box adversarial attack via random search
M Andriushchenko, F Croce, N Flammarion, M Hein
ECCV, 2020
10862020
Robustbench: a standardized adversarial robustness benchmark
F Croce, M Andriushchenko, V Sehwag, E Debenedetti, N Flammarion, ...
arXiv preprint arXiv:2010.09670, 2020
7552020
Understanding and Improving Fast Adversarial Training
M Andriushchenko, N Flammarion
Advances in Neural Information Processing Systems, 2020
3432020
Sampling can be faster than optimization
YA Ma, Y Chen, C Jin, N Flammarion, MI Jordan
Proceedings of the National Academy of Sciences 116 (42), 20881-20885, 2019
2282019
Harder, better, faster, stronger convergence rates for least-squares regression
A Dieuleveut, N Flammarion, F Bach
Journal of Machine Learning Research 18 (101), 1-51, 2017
1792017
Is there an analog of Nesterov acceleration for gradient-based MCMC?
YA Ma, NS Chatterji, X Cheng, N Flammarion, PL Bartlett, MI Jordan
1722021
From averaging to acceleration, there is only a step-size
N Flammarion, F Bach
Conference on learning theory, 658-695, 2015
1562015
Towards understanding sharpness-aware minimization
M Andriushchenko, N Flammarion
International Conference on Machine Learning, 639-668, 2022
1462022
Averaging stochastic gradient descent on Riemannian manifolds
N Tripuraneni, N Flammarion, F Bach, MI Jordan
Conference On Learning Theory, 2018
1192018
Implicit bias of sgd for diagonal linear networks: a provable benefit of stochasticity
S Pesme, L Pillaud-Vivien, N Flammarion
Advances in Neural Information Processing Systems 34, 29218-29230, 2021
1142021
On the effectiveness of adversarial training against common corruptions
K Kireev, M Andriushchenko, N Flammarion
Uncertainty in Artificial Intelligence, 1012-1021, 2022
1132022
Sparse-rs: a versatile framework for query-efficient sparse black-box adversarial attacks
F Croce, M Andriushchenko, ND Singh, N Flammarion, M Hein
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6437-6445, 2022
1072022
On the theory of variance reduction for stochastic gradient Monte Carlo
NS Chatterji, N Flammarion, YA Ma, PL Bartlett, MI Jordan
International Conference on Machine Learning, 764--773, 2018
1052018
Fast mean estimation with sub-Gaussian rates
Y Cherapanamjeri, N Flammarion, PL Bartlett
Conference on Learning Theory, 786--806, 2019
932019
Escaping from saddle points on Riemannian manifolds
Y Sun, N Flammarion, M Fazel
Advances in Neural Information Processing Systems, 7276-7286, 2019
822019
Jailbreakbench: An open robustness benchmark for jailbreaking large language models
P Chao, E Debenedetti, A Robey, M Andriushchenko, F Croce, V Sehwag, ...
arXiv preprint arXiv:2404.01318, 2024
762024
Optimal rates of statistical seriation
N Flammarion, C Mao, P Rigollet
752019
Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity
W Mou, N Flammarion, MJ Wainwright, PL Bartlett
Bernoulli 28 (3), 1577-1601, 2022
742022
Jailbreaking leading safety-aligned llms with simple adaptive attacks
M Andriushchenko, F Croce, N Flammarion
arXiv preprint arXiv:2404.02151, 2024
732024
Gradient flow dynamics of shallow relu networks for square loss and orthogonal inputs
E Boursier, L Pillaud-Vivien, N Flammarion
Advances in Neural Information Processing Systems 35, 20105-20118, 2022
652022
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–20