دنبال کردن
Pascal Frossard
عنوان
نقل شده توسط
نقل شده توسط
سال
DeepFool: a simple and accurate method to fool deep neural networks‏
SM Moosavi-Dezfooli, A Fawzi, P Frossard‏
IEEE CVPR, 2016‏
65552016
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains‏
DI Shuman, SK Narang, P Frossard, A Ortega, P Vandergheynst‏
IEEE signal processing magazine 30 (3), 83-98, 2013‏
49292013
Universal adversarial perturbations‏
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard‏
IEEE CVPR, 2017‏
33622017
Graph signal processing: Overview, challenges, and applications‏
A Ortega, P Frossard, J Kovačević, JMF Moura, P Vandergheynst‏
Proceedings of the IEEE 106 (5), 808-828, 2018‏
19292018
Dictionary learning‏
I Tošić, P Frossard‏
Signal Processing Magazine, IEEE 28 (2), 27-38, 2011‏
11592011
Learning Laplacian Matrix in Smooth Graph Signal Representations‏
X Dong, D Thanou, P Frossard, P Vandergheynst‏
IEEE Transactions on Signal Processing 64 (23), 6160 - 6173, 2016‏
7372016
Learning graphs from data: A signal representation perspective‏
X Dong, D Thanou, M Rabbat, P Frossard‏
IEEE Signal Processing Magazine 36 (3), 44-63, 2019‏
4862019
Robustness of classifiers: from adversarial to random noise‏
A Fawzi, SM Moosavi-Dezfooli, P Frossard‏
NIPS, 2016‏
4362016
Analysis of classifiers’ robustness to adversarial perturbations‏
A Fawzi, O Fawzi, P Frossard‏
Machine Learning, 2017‏
4272017
Digress: Discrete denoising diffusion for graph generation‏
C Vignac, I Krawczuk, A Siraudin, B Wang, V Cevher, P Frossard‏
ICLR, 2023‏
4142023
Robustness via curvature regularization, and vice versa‏
SM Moosavi-Dezfooli, A Fawzi, J Uesato, P Frossard‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019‏
3842019
Adaptive data augmentation for image classification‏
A Fawzi, H Samulowitz, D Turaga, P Frossard‏
2016 IEEE international conference on image processing (ICIP), 3688-3692, 2016‏
3332016
Graph-based compression of dynamic 3D point cloud sequences‏
D Thanou, PA Chou, P Frossard‏
IEEE Transactions on Image Processing 25 (4), 1765-1778, 2016‏
3042016
Clustering on multi-layer graphs via subspace analysis on Grassmann manifolds‏
X Dong, P Frossard, P Vandergheynst, N Nefedov‏
IEEE Transactions on signal processing 62 (4), 905-918, 2013‏
2552013
Empirical study of the topology and geometry of deep networks‏
A Fawzi, SM Moosavi-Dezfooli, P Frossard, S Soatto‏
IEEE CVPR, 2018‏
246*2018
Sparsefool: a few pixels make a big difference‏
A Modas, SM Moosavi-Dezfooli, P Frossard‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019‏
2392019
Adaptive quantization for deep neural network‏
Y Zhou, SM Moosavi-Dezfooli, NM Cheung, P Frossard‏
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018‏
2382018
The robustness of deep networks: A geometrical perspective‏
A Fawzi, SM Moosavi-Dezfooli, P Frossard‏
IEEE Signal Processing Magazine 34 (6), 50-62, 2017‏
232*2017
Learning heat diffusion graphs‏
D Thanou, X Dong, D Kressner, P Frossard‏
IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017‏
2162017
Graph signal processing for machine learning: A review and new perspectives‏
X Dong, D Thanou, L Toni, M Bronstein, P Frossard‏
IEEE Signal processing magazine 37 (6), 117-127, 2020‏
2072020
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مقاله‌ها 1–20